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## cov, smooth, var
age Feature Integer Age N/A no
workclass Feature Categorical Income Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked. yes
fnlwgt Feature Integer no
education Feature Categorical Education Level Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool. no
education-num Feature Integer Education Level no
marital-status Feature Categorical Other Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse. no
occupation Feature Categorical Other Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces. yes
relationship Feature Categorical Other Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried. no
race Feature Categorical Race White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other, Black. no
sex Feature Binary Sex Female, Male. no
capital-gain Feature Integer no
capital-loss Feature Integer no
hours-per-week Feature Integer no
native-country Feature Categorical Other [1] “” ” ?” ” Cambodia”
” Canada”
[5] ” China” ” Columbia” ” Cuba” ” Dominican-Republic”
[9] ” Ecuador” ” El-Salvador” ” England” ” France”
[13] ” Germany” ” Greece” ” Guatemala” ” Haiti”
[17] ” Holand-Netherlands” ” Honduras” ” Hong” ” Hungary”
[21] ” India” ” Iran” ” Ireland” ” Italy”
[25] ” Jamaica” ” Japan” ” Laos” ” Mexico”
[29] ” Nicaragua” ” Outlying-US(Guam-USVI-etc)” ” Peru” ”
Philippines”
[33] ” Poland” ” Portugal” ” Puerto-Rico” ” Scotland”
[37] ” South” ” Taiwan” ” Thailand” ” Trinadad&Tobago”
[41] ” United-States” ” Vietnam” ” Yugoslavia” yes income Target Binary
Income >50K, <=50K. no
Note: * fnlwgt (third column) - change to ‘similar_pop_count’ represents the number of subjects in the target population that the responding subject represents. * education_num - change to ‘years_eduction’ - count of total years in school * sex - changed to ‘gender’
## age workclass similar_pop_count education_level years_education
## 1 39 State-gov 77516 Bachelors 13
## 2 50 Self-emp-not-inc 83311 Bachelors 13
## 3 38 Private 215646 HS-grad 9
## 4 53 Private 234721 11th 7
## 5 28 Private 338409 Bachelors 13
## 6 37 Private 284582 Masters 14
## 7 49 Private 160187 9th 5
## 8 52 Self-emp-not-inc 209642 HS-grad 9
## 9 31 Private 45781 Masters 14
## 10 42 Private 159449 Bachelors 13
## 11 37 Private 280464 Some-college 10
## 12 30 State-gov 141297 Bachelors 13
## 13 23 Private 122272 Bachelors 13
## 14 32 Private 205019 Assoc-acdm 12
## 15 40 Private 121772 Assoc-voc 11
## 16 34 Private 245487 7th-8th 4
## 17 25 Self-emp-not-inc 176756 HS-grad 9
## 18 32 Private 186824 HS-grad 9
## 19 38 Private 28887 11th 7
## 20 43 Self-emp-not-inc 292175 Masters 14
## 21 40 Private 193524 Doctorate 16
## 22 54 Private 302146 HS-grad 9
## 23 35 Federal-gov 76845 9th 5
## 24 43 Private 117037 11th 7
## 25 59 Private 109015 HS-grad 9
## 26 56 Local-gov 216851 Bachelors 13
## 27 19 Private 168294 HS-grad 9
## 28 54 ? 180211 Some-college 10
## 29 39 Private 367260 HS-grad 9
## 30 49 Private 193366 HS-grad 9
## 31 23 Local-gov 190709 Assoc-acdm 12
## 32 20 Private 266015 Some-college 10
## 33 45 Private 386940 Bachelors 13
## 34 30 Federal-gov 59951 Some-college 10
## 35 22 State-gov 311512 Some-college 10
## 36 48 Private 242406 11th 7
## 37 21 Private 197200 Some-college 10
## 38 19 Private 544091 HS-grad 9
## 39 31 Private 84154 Some-college 10
## 40 48 Self-emp-not-inc 265477 Assoc-acdm 12
## 41 31 Private 507875 9th 5
## 42 53 Self-emp-not-inc 88506 Bachelors 13
## 43 24 Private 172987 Bachelors 13
## 44 49 Private 94638 HS-grad 9
## 45 25 Private 289980 HS-grad 9
## 46 57 Federal-gov 337895 Bachelors 13
## 47 53 Private 144361 HS-grad 9
## 48 44 Private 128354 Masters 14
## 49 41 State-gov 101603 Assoc-voc 11
## 50 29 Private 271466 Assoc-voc 11
## 51 25 Private 32275 Some-college 10
## 52 18 Private 226956 HS-grad 9
## 53 47 Private 51835 Prof-school 15
## 54 50 Federal-gov 251585 Bachelors 13
## 55 47 Self-emp-inc 109832 HS-grad 9
## 56 43 Private 237993 Some-college 10
## 57 46 Private 216666 5th-6th 3
## 58 35 Private 56352 Assoc-voc 11
## 59 41 Private 147372 HS-grad 9
## 60 30 Private 188146 HS-grad 9
## 61 30 Private 59496 Bachelors 13
## 62 32 ? 293936 7th-8th 4
## 63 48 Private 149640 HS-grad 9
## 64 42 Private 116632 Doctorate 16
## 65 29 Private 105598 Some-college 10
## 66 36 Private 155537 HS-grad 9
## 67 28 Private 183175 Some-college 10
## 68 53 Private 169846 HS-grad 9
## 69 49 Self-emp-inc 191681 Some-college 10
## 70 25 ? 200681 Some-college 10
## 71 19 Private 101509 Some-college 10
## 72 31 Private 309974 Bachelors 13
## 73 29 Self-emp-not-inc 162298 Bachelors 13
## 74 23 Private 211678 Some-college 10
## 75 79 Private 124744 Some-college 10
## 76 27 Private 213921 HS-grad 9
## 77 40 Private 32214 Assoc-acdm 12
## 78 67 ? 212759 10th 6
## 79 18 Private 309634 11th 7
## 80 31 Local-gov 125927 7th-8th 4
## 81 18 Private 446839 HS-grad 9
## 82 52 Private 276515 Bachelors 13
## 83 46 Private 51618 HS-grad 9
## 84 59 Private 159937 HS-grad 9
## 85 44 Private 343591 HS-grad 9
## 86 53 Private 346253 HS-grad 9
## 87 49 Local-gov 268234 HS-grad 9
## 88 33 Private 202051 Masters 14
## 89 30 Private 54334 9th 5
## 90 43 Federal-gov 410867 Doctorate 16
## 91 57 Private 249977 Assoc-voc 11
## 92 37 Private 286730 Some-college 10
## 93 28 Private 212563 Some-college 10
## 94 30 Private 117747 HS-grad 9
## 95 34 Local-gov 226296 Bachelors 13
## 96 29 Local-gov 115585 Some-college 10
## 97 48 Self-emp-not-inc 191277 Doctorate 16
## 98 37 Private 202683 Some-college 10
## 99 48 Private 171095 Assoc-acdm 12
## 100 32 Federal-gov 249409 HS-grad 9
## 101 76 Private 124191 Masters 14
## 102 44 Private 198282 Bachelors 13
## 103 47 Self-emp-not-inc 149116 Masters 14
## 104 20 Private 188300 Some-college 10
## 105 29 Private 103432 HS-grad 9
## 106 32 Self-emp-inc 317660 HS-grad 9
## 107 17 ? 304873 10th 6
## 108 30 Private 194901 11th 7
## 109 31 Local-gov 189265 HS-grad 9
## 110 42 Private 124692 HS-grad 9
## 111 24 Private 432376 Bachelors 13
## 112 38 Private 65324 Prof-school 15
## 113 56 Self-emp-not-inc 335605 HS-grad 9
## 114 28 Private 377869 Some-college 10
## 115 36 Private 102864 HS-grad 9
## 116 53 Private 95647 9th 5
## 117 56 Self-emp-inc 303090 Some-college 10
## 118 49 Local-gov 197371 Assoc-voc 11
## 119 55 Private 247552 Some-college 10
## 120 22 Private 102632 HS-grad 9
## 121 21 Private 199915 Some-college 10
## 122 40 Private 118853 Bachelors 13
## 123 30 Private 77143 Bachelors 13
## 124 29 State-gov 267989 Bachelors 13
## 125 19 Private 301606 Some-college 10
## 126 47 Private 287828 Bachelors 13
## 127 20 Private 111697 Some-college 10
## 128 31 Private 114937 Assoc-acdm 12
## 129 35 ? 129305 HS-grad 9
## 130 39 Private 365739 Some-college 10
## 131 28 Private 69621 Assoc-acdm 12
## 132 24 Private 43323 HS-grad 9
## 133 38 Self-emp-not-inc 120985 HS-grad 9
## 134 37 Private 254202 Bachelors 13
## 135 46 Private 146195 Assoc-acdm 12
## 136 38 Federal-gov 125933 Masters 14
## 137 43 Self-emp-not-inc 56920 HS-grad 9
## 138 27 Private 163127 Assoc-voc 11
## 139 20 Private 34310 Some-college 10
## 140 49 Private 81973 Some-college 10
## 141 61 Self-emp-inc 66614 HS-grad 9
## 142 27 Private 232782 Some-college 10
## 143 19 Private 316868 Some-college 10
## 144 45 Private 196584 Assoc-voc 11
## 145 70 Private 105376 Some-college 10
## 146 31 Private 185814 HS-grad 9
## 147 22 Private 175374 Some-college 10
## 148 36 Private 108293 HS-grad 9
## 149 64 Private 181232 11th 7
## 150 43 ? 174662 Some-college 10
## 151 47 Local-gov 186009 Some-college 10
## 152 34 Private 198183 HS-grad 9
## 153 33 Private 163003 Bachelors 13
## 154 21 Private 296158 HS-grad 9
## 155 52 ? 252903 HS-grad 9
## 156 48 Private 187715 HS-grad 9
## 157 23 Private 214542 Bachelors 13
## 158 71 Self-emp-not-inc 494223 Some-college 10
## 159 29 Private 191535 HS-grad 9
## 160 42 Private 228456 Bachelors 13
## 161 68 ? 38317 1st-4th 2
## 162 25 Private 252752 HS-grad 9
## 163 44 Self-emp-inc 78374 Masters 14
## 164 28 Private 88419 HS-grad 9
## 165 45 Self-emp-not-inc 201080 Masters 14
## 166 36 Private 207157 Some-college 10
## 167 39 Federal-gov 235485 Assoc-acdm 12
## 168 46 State-gov 102628 Masters 14
## 169 18 Private 25828 11th 7
## 170 66 Local-gov 54826 Assoc-voc 11
## 171 27 Private 124953 HS-grad 9
## 172 28 State-gov 175325 HS-grad 9
## 173 51 Private 96062 Some-college 10
## 174 27 Private 428030 Bachelors 13
## 175 28 State-gov 149624 Bachelors 13
## 176 27 Private 253814 HS-grad 9
## 177 21 Private 312956 HS-grad 9
## 178 34 Private 483777 HS-grad 9
## 179 18 Private 183930 HS-grad 9
## 180 33 Private 37274 Bachelors 13
## 181 44 Local-gov 181344 Some-college 10
## 182 43 Private 114580 Some-college 10
## 183 30 Private 633742 Some-college 10
## 184 40 Private 286370 7th-8th 4
## 185 37 Federal-gov 29054 Some-college 10
## 186 34 Private 304030 HS-grad 9
## 187 41 Self-emp-not-inc 143129 Bachelors 13
## 188 53 ? 135105 Bachelors 13
## 189 31 Private 99928 Masters 14
## 190 58 State-gov 109567 Doctorate 16
## 191 38 Private 155222 Some-college 10
## 192 24 Private 159567 Some-college 10
## 193 41 Local-gov 523910 Bachelors 13
## 194 47 Private 120939 Some-college 10
## 195 41 Federal-gov 130760 Bachelors 13
## 196 23 Private 197387 5th-6th 3
## 197 36 Private 99374 Some-college 10
## 198 40 Federal-gov 56795 Masters 14
## 199 35 Private 138992 Masters 14
## 200 24 Self-emp-not-inc 32921 HS-grad 9
## 201 26 Private 397317 Masters 14
## 202 19 ? 170653 HS-grad 9
## 203 51 Private 259323 Bachelors 13
## 204 42 Local-gov 254817 Some-college 10
## 205 37 State-gov 48211 HS-grad 9
## 206 18 Private 140164 11th 7
## 207 36 Private 128757 Bachelors 13
## 208 35 Private 36270 HS-grad 9
## 209 58 Self-emp-inc 210563 HS-grad 9
## 210 17 Private 65368 11th 7
## 211 44 Local-gov 160943 HS-grad 9
## 212 37 Private 208358 HS-grad 9
## 213 35 Private 153790 Some-college 10
## 214 60 Private 85815 HS-grad 9
## 215 54 Self-emp-inc 125417 7th-8th 4
## 216 37 Private 635913 Bachelors 13
## 217 50 Private 313321 Assoc-acdm 12
## 218 38 Private 182609 Bachelors 13
## 219 45 Private 109434 Bachelors 13
## 220 25 Private 255004 10th 6
## 221 31 Private 197860 Some-college 10
## 222 64 ? 187656 1st-4th 2
## 223 90 Private 51744 HS-grad 9
## 224 54 Private 176681 HS-grad 9
## 225 53 Local-gov 140359 Preschool 1
## 226 18 Private 243313 HS-grad 9
## 227 60 ? 24215 10th 6
## 228 66 Self-emp-not-inc 167687 HS-grad 9
## 229 75 Private 314209 Assoc-voc 11
## 230 65 Private 176796 HS-grad 9
## 231 35 Private 538583 11th 7
## 232 41 Private 130408 HS-grad 9
## 233 25 Private 159732 Some-college 10
## 234 33 Private 110978 Some-college 10
## 235 28 Private 76714 Prof-school 15
## 236 59 State-gov 268700 HS-grad 9
## 237 40 State-gov 170525 Some-college 10
## 238 41 Private 180138 Bachelors 13
## 239 38 Local-gov 115076 Masters 14
## 240 23 Private 115458 HS-grad 9
## 241 40 Private 347890 Bachelors 13
## 242 41 Self-emp-not-inc 196001 HS-grad 9
## 243 24 State-gov 273905 Assoc-acdm 12
## 244 20 ? 119156 Some-college 10
## 245 38 Private 179488 Some-college 10
## 246 56 Private 203580 HS-grad 9
## 247 58 Private 236596 HS-grad 9
## 248 32 Private 183916 HS-grad 9
## 249 40 Private 207578 Assoc-acdm 12
## 250 45 Private 153141 HS-grad 9
## 251 41 Private 112763 Prof-school 15
## 252 42 Private 390781 Bachelors 13
## 253 59 Local-gov 171328 10th 6
## 254 19 Local-gov 27382 Some-college 10
## 255 58 Private 259014 Some-college 10
## 256 42 Self-emp-not-inc 303044 HS-grad 9
## 257 20 Private 117789 HS-grad 9
## 258 32 Private 172579 HS-grad 9
## 259 45 Private 187666 Assoc-voc 11
## 260 50 Private 204518 7th-8th 4
## 261 36 Private 150042 Bachelors 13
## 262 45 Private 98092 HS-grad 9
## 263 17 Private 245918 11th 7
## 264 59 Private 146013 Some-college 10
## 265 26 Private 378322 11th 7
## 266 37 Self-emp-inc 257295 Some-college 10
## 267 19 ? 218956 Some-college 10
## 268 64 Private 21174 HS-grad 9
## 269 33 Private 185480 Bachelors 13
## 270 33 Private 222205 HS-grad 9
## 271 61 Private 69867 HS-grad 9
## 272 17 Private 191260 9th 5
## 273 50 Self-emp-not-inc 30653 Masters 14
## 274 27 Local-gov 209109 Masters 14
## 275 30 Private 70377 HS-grad 9
## 276 43 Private 477983 HS-grad 9
## 277 44 Private 170924 Some-college 10
## 278 35 Private 190174 Some-college 10
## 279 25 Private 193787 Some-college 10
## 280 24 Private 279472 Some-college 10
## 281 22 Private 34918 Bachelors 13
## 282 42 Local-gov 97688 Some-college 10
## 283 34 Private 175413 Assoc-acdm 12
## 284 60 Private 173960 Bachelors 13
## 285 21 Private 205759 HS-grad 9
## 286 57 Federal-gov 425161 Masters 14
## 287 41 Private 220531 Prof-school 15
## 288 50 Private 176609 Some-college 10
## 289 25 Private 371987 Bachelors 13
## 290 50 Private 193884 7th-8th 4
## 291 36 Private 200352 Bachelors 13
## 292 31 Private 127595 HS-grad 9
## 293 29 Local-gov 220419 Bachelors 13
## 294 21 Private 231931 Some-college 10
## 295 27 Private 248402 Bachelors 13
## 296 65 Private 111095 HS-grad 9
## 297 37 Self-emp-inc 57424 Bachelors 13
## 298 39 ? 157443 Masters 14
## 299 24 Private 278130 HS-grad 9
## 300 38 Private 169469 HS-grad 9
## 301 48 Private 146268 Bachelors 13
## 302 21 Private 153718 Some-college 10
## 303 31 Private 217460 HS-grad 9
## 304 55 Private 238638 HS-grad 9
## 305 24 Private 303296 Some-college 10
## 306 43 Private 173321 HS-grad 9
## 307 26 Private 193945 Assoc-acdm 12
## 308 46 Private 83082 Assoc-acdm 12
## 309 35 Private 193815 Assoc-acdm 12
## 310 41 Self-emp-inc 34987 Some-college 10
## 311 26 Private 59306 Bachelors 13
## 312 34 Private 142897 Masters 14
## 313 19 ? 860348 Some-college 10
## 314 36 Self-emp-not-inc 205607 Bachelors 13
## 315 22 Private 199698 Some-college 10
## 316 24 Private 191954 Some-college 10
## 317 77 Self-emp-not-inc 138714 Some-college 10
## 318 22 Private 399087 5th-6th 3
## 319 29 Private 423158 Some-college 10
## 320 62 Private 159841 HS-grad 9
## 321 39 Self-emp-not-inc 174308 HS-grad 9
## 322 43 Private 50356 Some-college 10
## 323 35 Private 186110 HS-grad 9
## 324 29 Private 200381 11th 7
## 325 76 Self-emp-not-inc 174309 Masters 14
## 326 63 Self-emp-not-inc 78383 HS-grad 9
## 327 23 ? 211601 Assoc-voc 11
## 328 43 Private 187728 Some-college 10
## 329 58 Self-emp-not-inc 321171 HS-grad 9
## 330 66 Private 127921 HS-grad 9
## 331 41 Private 206565 Some-college 10
## 332 26 Private 224563 Bachelors 13
## 333 47 Private 178686 Assoc-voc 11
## 334 55 Local-gov 98545 10th 6
## 335 53 Private 242606 HS-grad 9
## 336 17 Private 270942 5th-6th 3
## 337 30 Private 94235 HS-grad 9
## 338 49 Private 71195 Masters 14
## 339 19 Private 104112 HS-grad 9
## 340 45 Private 261192 HS-grad 9
## 341 26 Private 94936 Assoc-acdm 12
## 342 38 Private 296478 Assoc-voc 11
## 343 36 State-gov 119272 HS-grad 9
## 344 33 Private 85043 HS-grad 9
## 345 22 State-gov 293364 Some-college 10
## 346 43 Self-emp-not-inc 241895 Bachelors 13
## 347 67 ? 36135 11th 7
## 348 30 ? 151989 Assoc-voc 11
## 349 56 Private 101128 Assoc-acdm 12
## 350 31 Private 156464 Bachelors 13
## 351 33 Private 117963 Bachelors 13
## 352 26 Private 192262 HS-grad 9
## 353 33 Private 111363 Bachelors 13
## 354 46 Local-gov 329752 11th 7
## 355 59 ? 372020 Bachelors 13
## 356 38 Federal-gov 95432 HS-grad 9
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## 358 40 Private 96129 Assoc-voc 11
## 359 42 Private 111949 HS-grad 9
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## 365 22 Private 410439 HS-grad 9
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## 367 56 Self-emp-not-inc 183081 Some-college 10
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## 385 36 Local-gov 117312 Some-college 10
## 386 23 Private 396099 HS-grad 9
## 387 29 Private 134152 HS-grad 9
## 388 44 Private 162028 Some-college 10
## 389 19 Private 25429 Some-college 10
## 390 19 Private 232392 HS-grad 9
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## 392 27 Private 301302 Bachelors 13
## 393 46 Self-emp-not-inc 277946 Assoc-acdm 12
## 394 34 State-gov 98101 Bachelors 13
## 395 34 Private 196164 HS-grad 9
## 396 44 Private 115562 Some-college 10
## 397 45 Private 96975 Some-college 10
## 398 20 ? 137300 HS-grad 9
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## 400 52 Self-emp-inc 132178 Bachelors 13
## 401 20 Private 416103 Some-college 10
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## 403 50 State-gov 288353 Bachelors 13
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## 405 28 Private 166481 7th-8th 4
## 406 41 Private 445382 Masters 14
## 407 28 Private 110145 HS-grad 9
## 408 46 Self-emp-not-inc 317253 HS-grad 9
## 409 28 ? 123147 Some-college 10
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## 411 41 Local-gov 42346 Some-college 10
## 412 24 Private 241951 HS-grad 9
## 413 33 Private 118500 Some-college 10
## 414 46 Private 188386 Doctorate 16
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## 429 63 Self-emp-inc 222289 HS-grad 9
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## 431 80 ? 107762 HS-grad 9
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## 437 34 Local-gov 284843 HS-grad 9
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## 441 29 Private 363425 Bachelors 13
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## 450 17 ? 258872 11th 7
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## 453 60 Private 245062 HS-grad 9
## 454 42 Private 197583 Assoc-acdm 12
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## 456 40 Private 72887 Assoc-voc 11
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## 482 43 Self-emp-not-inc 170721 Some-college 10
## 483 28 State-gov 70100 Bachelors 13
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## 15 Married-civ-spouse Craft-repair Husband
## 16 Married-civ-spouse Transport-moving Husband
## 17 Never-married Farming-fishing Own-child
## 18 Never-married Machine-op-inspct Unmarried
## 19 Married-civ-spouse Sales Husband
## 20 Divorced Exec-managerial Unmarried
## 21 Married-civ-spouse Prof-specialty Husband
## 22 Separated Other-service Unmarried
## 23 Married-civ-spouse Farming-fishing Husband
## 24 Married-civ-spouse Transport-moving Husband
## 25 Divorced Tech-support Unmarried
## 26 Married-civ-spouse Tech-support Husband
## 27 Never-married Craft-repair Own-child
## 28 Married-civ-spouse ? Husband
## 29 Divorced Exec-managerial Not-in-family
## 30 Married-civ-spouse Craft-repair Husband
## 31 Never-married Protective-serv Not-in-family
## 32 Never-married Sales Own-child
## 33 Divorced Exec-managerial Own-child
## 34 Married-civ-spouse Adm-clerical Own-child
## 35 Married-civ-spouse Other-service Husband
## 36 Never-married Machine-op-inspct Unmarried
## 37 Never-married Machine-op-inspct Own-child
## 38 Married-AF-spouse Adm-clerical Wife
## 39 Married-civ-spouse Sales Husband
## 40 Married-civ-spouse Prof-specialty Husband
## 41 Married-civ-spouse Machine-op-inspct Husband
## 42 Married-civ-spouse Prof-specialty Husband
## 43 Married-civ-spouse Tech-support Husband
## 44 Separated Adm-clerical Unmarried
## 45 Never-married Handlers-cleaners Not-in-family
## 46 Married-civ-spouse Prof-specialty Husband
## 47 Married-civ-spouse Machine-op-inspct Husband
## 48 Divorced Exec-managerial Unmarried
## 49 Married-civ-spouse Craft-repair Husband
## 50 Never-married Prof-specialty Not-in-family
## 51 Married-civ-spouse Exec-managerial Wife
## 52 Never-married Other-service Own-child
## 53 Married-civ-spouse Prof-specialty Wife
## 54 Divorced Exec-managerial Not-in-family
## 55 Divorced Exec-managerial Not-in-family
## 56 Married-civ-spouse Tech-support Husband
## 57 Married-civ-spouse Machine-op-inspct Husband
## 58 Married-civ-spouse Other-service Husband
## 59 Married-civ-spouse Adm-clerical Husband
## 60 Married-civ-spouse Machine-op-inspct Husband
## 61 Married-civ-spouse Sales Husband
## 62 Married-spouse-absent ? Not-in-family
## 63 Married-civ-spouse Transport-moving Husband
## 64 Married-civ-spouse Prof-specialty Husband
## 65 Divorced Tech-support Not-in-family
## 66 Married-civ-spouse Craft-repair Husband
## 67 Divorced Adm-clerical Not-in-family
## 68 Married-civ-spouse Adm-clerical Wife
## 69 Married-civ-spouse Exec-managerial Husband
## 70 Never-married ? Own-child
## 71 Never-married Prof-specialty Own-child
## 72 Separated Sales Own-child
## 73 Married-civ-spouse Sales Husband
## 74 Never-married Machine-op-inspct Not-in-family
## 75 Married-civ-spouse Prof-specialty Other-relative
## 76 Never-married Other-service Own-child
## 77 Married-civ-spouse Adm-clerical Husband
## 78 Married-civ-spouse ? Husband
## 79 Never-married Other-service Own-child
## 80 Married-civ-spouse Farming-fishing Husband
## 81 Never-married Sales Not-in-family
## 82 Married-civ-spouse Other-service Husband
## 83 Married-civ-spouse Other-service Wife
## 84 Married-civ-spouse Sales Husband
## 85 Divorced Craft-repair Not-in-family
## 86 Divorced Sales Own-child
## 87 Married-civ-spouse Protective-serv Husband
## 88 Married-civ-spouse Prof-specialty Husband
## 89 Never-married Sales Not-in-family
## 90 Never-married Prof-specialty Not-in-family
## 91 Married-civ-spouse Prof-specialty Husband
## 92 Divorced Craft-repair Unmarried
## 93 Divorced Machine-op-inspct Unmarried
## 94 Married-civ-spouse Sales Wife
## 95 Married-civ-spouse Protective-serv Husband
## 96 Never-married Handlers-cleaners Not-in-family
## 97 Married-civ-spouse Prof-specialty Husband
## 98 Married-civ-spouse Sales Husband
## 99 Divorced Exec-managerial Unmarried
## 100 Never-married Other-service Own-child
## 101 Married-civ-spouse Exec-managerial Husband
## 102 Married-civ-spouse Exec-managerial Husband
## 103 Never-married Prof-specialty Not-in-family
## 104 Never-married Tech-support Own-child
## 105 Never-married Craft-repair Not-in-family
## 106 Married-civ-spouse Craft-repair Husband
## 107 Never-married ? Own-child
## 108 Never-married Handlers-cleaners Own-child
## 109 Never-married Adm-clerical Not-in-family
## 110 Married-civ-spouse Handlers-cleaners Husband
## 111 Never-married Sales Other-relative
## 112 Married-civ-spouse Prof-specialty Husband
## 113 Married-civ-spouse Other-service Husband
## 114 Married-civ-spouse Sales Wife
## 115 Never-married Machine-op-inspct Own-child
## 116 Married-civ-spouse Handlers-cleaners Husband
## 117 Married-civ-spouse Sales Husband
## 118 Married-civ-spouse Craft-repair Husband
## 119 Married-civ-spouse Sales Husband
## 120 Never-married Craft-repair Not-in-family
## 121 Never-married Other-service Own-child
## 122 Married-civ-spouse Exec-managerial Husband
## 123 Never-married Exec-managerial Own-child
## 124 Married-civ-spouse Prof-specialty Husband
## 125 Never-married Other-service Own-child
## 126 Married-civ-spouse Exec-managerial Wife
## 127 Never-married Adm-clerical Own-child
## 128 Married-civ-spouse Adm-clerical Husband
## 129 Married-civ-spouse ? Husband
## 130 Divorced Craft-repair Not-in-family
## 131 Never-married Sales Not-in-family
## 132 Never-married Other-service Not-in-family
## 133 Married-civ-spouse Craft-repair Husband
## 134 Married-civ-spouse Sales Husband
## 135 Divorced Tech-support Not-in-family
## 136 Married-civ-spouse Prof-specialty Husband
## 137 Married-civ-spouse Craft-repair Husband
## 138 Married-civ-spouse Adm-clerical Wife
## 139 Never-married Sales Own-child
## 140 Married-civ-spouse Craft-repair Husband
## 141 Married-civ-spouse Craft-repair Husband
## 142 Never-married Sales Own-child
## 143 Never-married Other-service Own-child
## 144 Never-married Prof-specialty Not-in-family
## 145 Never-married Tech-support Other-relative
## 146 Never-married Transport-moving Unmarried
## 147 Married-civ-spouse Other-service Husband
## 148 Widowed Other-service Unmarried
## 149 Married-civ-spouse Craft-repair Husband
## 150 Divorced ? Not-in-family
## 151 Divorced Adm-clerical Unmarried
## 152 Never-married Adm-clerical Not-in-family
## 153 Never-married Exec-managerial Other-relative
## 154 Never-married Craft-repair Own-child
## 155 Divorced ? Not-in-family
## 156 Married-civ-spouse Craft-repair Husband
## 157 Never-married Handlers-cleaners Not-in-family
## 158 Separated Sales Unmarried
## 159 Divorced Craft-repair Not-in-family
## 160 Separated Other-service Other-relative
## 161 Divorced ? Not-in-family
## 162 Never-married Other-service Unmarried
## 163 Divorced Exec-managerial Unmarried
## 164 Never-married Exec-managerial Not-in-family
## 165 Married-civ-spouse Sales Husband
## 166 Divorced Other-service Unmarried
## 167 Never-married Exec-managerial Not-in-family
## 168 Widowed Protective-serv Unmarried
## 169 Never-married Handlers-cleaners Own-child
## 170 Widowed Prof-specialty Not-in-family
## 171 Never-married Other-service Not-in-family
## 172 Married-civ-spouse Protective-serv Husband
## 173 Married-civ-spouse Sales Husband
## 174 Never-married Craft-repair Not-in-family
## 175 Married-civ-spouse Prof-specialty Husband
## 176 Married-spouse-absent Sales Unmarried
## 177 Never-married Craft-repair Own-child
## 178 Never-married Handlers-cleaners Not-in-family
## 179 Never-married Other-service Own-child
## 180 Married-civ-spouse Prof-specialty Husband
## 181 Married-civ-spouse Exec-managerial Husband
## 182 Divorced Adm-clerical Not-in-family
## 183 Never-married Craft-repair Not-in-family
## 184 Married-civ-spouse Machine-op-inspct Husband
## 185 Married-civ-spouse Adm-clerical Husband
## 186 Married-civ-spouse Adm-clerical Husband
## 187 Divorced Exec-managerial Not-in-family
## 188 Divorced ? Not-in-family
## 189 Married-civ-spouse Prof-specialty Wife
## 190 Married-civ-spouse Prof-specialty Husband
## 191 Divorced Machine-op-inspct Not-in-family
## 192 Married-civ-spouse Machine-op-inspct Husband
## 193 Married-civ-spouse Craft-repair Husband
## 194 Married-civ-spouse Tech-support Husband
## 195 Married-civ-spouse Tech-support Husband
## 196 Married-civ-spouse Transport-moving Other-relative
## 197 Divorced Craft-repair Not-in-family
## 198 Never-married Exec-managerial Not-in-family
## 199 Married-civ-spouse Prof-specialty Other-relative
## 200 Never-married Sales Not-in-family
## 201 Never-married Prof-specialty Not-in-family
## 202 Never-married ? Own-child
## 203 Married-civ-spouse Exec-managerial Husband
## 204 Never-married Prof-specialty Not-in-family
## 205 Divorced Adm-clerical Unmarried
## 206 Never-married Sales Own-child
## 207 Married-civ-spouse Other-service Husband
## 208 Divorced Craft-repair Not-in-family
## 209 Married-civ-spouse Sales Wife
## 210 Never-married Sales Own-child
## 211 Married-civ-spouse Transport-moving Husband
## 212 Married-civ-spouse Craft-repair Husband
## 213 Never-married Sales Not-in-family
## 214 Married-civ-spouse Craft-repair Husband
## 215 Married-civ-spouse Machine-op-inspct Husband
## 216 Never-married Exec-managerial Not-in-family
## 217 Divorced Sales Not-in-family
## 218 Married-civ-spouse Sales Husband
## 219 Married-civ-spouse Prof-specialty Husband
## 220 Never-married Craft-repair Not-in-family
## 221 Married-civ-spouse Handlers-cleaners Husband
## 222 Divorced ? Not-in-family
## 223 Never-married Other-service Not-in-family
## 224 Married-civ-spouse Adm-clerical Husband
## 225 Never-married Machine-op-inspct Not-in-family
## 226 Never-married Sales Own-child
## 227 Divorced ? Not-in-family
## 228 Married-civ-spouse Farming-fishing Husband
## 229 Widowed Adm-clerical Not-in-family
## 230 Divorced Adm-clerical Not-in-family
## 231 Separated Transport-moving Not-in-family
## 232 Divorced Sales Unmarried
## 233 Never-married Adm-clerical Not-in-family
## 234 Divorced Craft-repair Other-relative
## 235 Never-married Prof-specialty Not-in-family
## 236 Married-civ-spouse Other-service Husband
## 237 Never-married Adm-clerical Not-in-family
## 238 Married-civ-spouse Exec-managerial Husband
## 239 Married-civ-spouse Exec-managerial Husband
## 240 Never-married Transport-moving Own-child
## 241 Married-civ-spouse Prof-specialty Husband
## 242 Married-civ-spouse Other-service Wife
## 243 Married-civ-spouse Protective-serv Husband
## 244 Never-married ? Own-child
## 245 Divorced Craft-repair Not-in-family
## 246 Married-civ-spouse Adm-clerical Husband
## 247 Married-civ-spouse Adm-clerical Husband
## 248 Never-married Other-service Not-in-family
## 249 Married-civ-spouse Tech-support Husband
## 250 Married-civ-spouse Adm-clerical Husband
## 251 Married-civ-spouse Prof-specialty Wife
## 252 Married-civ-spouse Adm-clerical Wife
## 253 Widowed Other-service Unmarried
## 254 Never-married Adm-clerical Own-child
## 255 Never-married Transport-moving Not-in-family
## 256 Married-civ-spouse Farming-fishing Husband
## 257 Never-married Other-service Own-child
## 258 Separated Other-service Not-in-family
## 259 Widowed Exec-managerial Not-in-family
## 260 Divorced Craft-repair Not-in-family
## 261 Divorced Prof-specialty Own-child
## 262 Married-civ-spouse Sales Husband
## 263 Never-married Other-service Own-child
## 264 Married-civ-spouse Sales Husband
## 265 Married-civ-spouse Craft-repair Husband
## 266 Married-civ-spouse Exec-managerial Husband
## 267 Never-married ? Own-child
## 268 Married-civ-spouse Exec-managerial Husband
## 269 Never-married Prof-specialty Not-in-family
## 270 Married-civ-spouse Craft-repair Wife
## 271 Married-civ-spouse Exec-managerial Husband
## 272 Never-married Other-service Own-child
## 273 Married-civ-spouse Farming-fishing Husband
## 274 Never-married Prof-specialty Own-child
## 275 Divorced Prof-specialty Own-child
## 276 Married-civ-spouse Handlers-cleaners Husband
## 277 Married-civ-spouse Craft-repair Husband
## 278 Never-married Exec-managerial Not-in-family
## 279 Never-married Tech-support Own-child
## 280 Married-civ-spouse Machine-op-inspct Wife
## 281 Never-married Prof-specialty Not-in-family
## 282 Married-civ-spouse Craft-repair Husband
## 283 Divorced Sales Unmarried
## 284 Divorced Prof-specialty Not-in-family
## 285 Never-married Handlers-cleaners Own-child
## 286 Married-civ-spouse Sales Husband
## 287 Married-civ-spouse Prof-specialty Husband
## 288 Divorced Other-service Not-in-family
## 289 Never-married Exec-managerial Not-in-family
## 290 Married-civ-spouse Craft-repair Husband
## 291 Married-civ-spouse Prof-specialty Husband
## 292 Divorced Prof-specialty Not-in-family
## 293 Never-married Protective-serv Not-in-family
## 294 Never-married Sales Own-child
## 295 Never-married Tech-support Unmarried
## 296 Married-civ-spouse Transport-moving Husband
## 297 Divorced Sales Not-in-family
## 298 Married-civ-spouse ? Wife
## 299 Never-married Craft-repair Own-child
## 300 Divorced Sales Not-in-family
## 301 Married-civ-spouse Adm-clerical Husband
## 302 Never-married Other-service Not-in-family
## 303 Married-civ-spouse Transport-moving Husband
## 304 Married-civ-spouse Sales Husband
## 305 Married-civ-spouse Adm-clerical Wife
## 306 Divorced Adm-clerical Not-in-family
## 307 Never-married Tech-support Not-in-family
## 308 Never-married Prof-specialty Not-in-family
## 309 Married-civ-spouse Adm-clerical Husband
## 310 Married-civ-spouse Farming-fishing Husband
## 311 Never-married Sales Not-in-family
## 312 Married-civ-spouse Exec-managerial Husband
## 313 Never-married ? Own-child
## 314 Divorced Prof-specialty Not-in-family
## 315 Never-married Sales Own-child
## 316 Never-married Machine-op-inspct Not-in-family
## 317 Married-civ-spouse Sales Husband
## 318 Married-civ-spouse Machine-op-inspct Other-relative
## 319 Never-married Tech-support Not-in-family
## 320 Widowed Other-service Not-in-family
## 321 Married-civ-spouse Exec-managerial Husband
## 322 Married-civ-spouse Craft-repair Husband
## 323 Divorced Transport-moving Not-in-family
## 324 Never-married Exec-managerial Not-in-family
## 325 Married-civ-spouse Craft-repair Husband
## 326 Married-civ-spouse Farming-fishing Husband
## 327 Never-married ? Own-child
## 328 Married-civ-spouse Prof-specialty Wife
## 329 Married-civ-spouse Handlers-cleaners Husband
## 330 Never-married Transport-moving Not-in-family
## 331 Never-married Craft-repair Not-in-family
## 332 Never-married Adm-clerical Not-in-family
## 333 Never-married Other-service Not-in-family
## 334 Married-civ-spouse Adm-clerical Husband
## 335 Married-civ-spouse Transport-moving Husband
## 336 Never-married Other-service Other-relative
## 337 Never-married Craft-repair Other-relative
## 338 Never-married Prof-specialty Not-in-family
## 339 Never-married Sales Unmarried
## 340 Married-civ-spouse Other-service Husband
## 341 Never-married Sales Not-in-family
## 342 Married-civ-spouse Craft-repair Husband
## 343 Married-civ-spouse Protective-serv Husband
## 344 Never-married Farming-fishing Not-in-family
## 345 Never-married Protective-serv Own-child
## 346 Never-married Sales Not-in-family
## 347 Married-civ-spouse ? Husband
## 348 Divorced ? Unmarried
## 349 Married-spouse-absent Other-service Not-in-family
## 350 Never-married Prof-specialty Own-child
## 351 Married-civ-spouse Exec-managerial Husband
## 352 Married-civ-spouse Other-service Husband
## 353 Married-civ-spouse Exec-managerial Husband
## 354 Married-civ-spouse Transport-moving Husband
## 355 Married-civ-spouse ? Husband
## 356 Married-civ-spouse Adm-clerical Husband
## 357 Widowed Other-service Unmarried
## 358 Married-civ-spouse Tech-support Husband
## 359 Married-civ-spouse Adm-clerical Wife
## 360 Married-civ-spouse Craft-repair Husband
## 361 Married-civ-spouse Other-service Wife
## 362 Married-civ-spouse Prof-specialty Husband
## 363 Married-civ-spouse Transport-moving Husband
## 364 Divorced Exec-managerial Not-in-family
## 365 Married-spouse-absent Sales Not-in-family
## 366 Married-civ-spouse Craft-repair Husband
## 367 Married-civ-spouse Sales Husband
## 368 Never-married Sales Not-in-family
## 369 Divorced Exec-managerial Not-in-family
## 370 Divorced Sales Unmarried
## 371 Never-married Adm-clerical Unmarried
## 372 Never-married Other-service Own-child
## 373 Married-civ-spouse Machine-op-inspct Husband
## 374 Married-civ-spouse Machine-op-inspct Husband
## 375 Never-married Craft-repair Not-in-family
## 376 Never-married Adm-clerical Own-child
## 377 Married-civ-spouse Craft-repair Wife
## 378 Never-married Sales Not-in-family
## 379 Divorced Exec-managerial Not-in-family
## 380 Married-civ-spouse Sales Husband
## 381 Divorced Transport-moving Not-in-family
## 382 Divorced Craft-repair Not-in-family
## 383 Married-civ-spouse Craft-repair Husband
## 384 Divorced Sales Not-in-family
## 385 Married-civ-spouse Transport-moving Wife
## 386 Never-married Other-service Not-in-family
## 387 Separated Machine-op-inspct Not-in-family
## 388 Married-civ-spouse Adm-clerical Wife
## 389 Never-married Adm-clerical Own-child
## 390 Never-married Other-service Other-relative
## 391 Married-civ-spouse Other-service Wife
## 392 Never-married Craft-repair Not-in-family
## 393 Separated Craft-repair Not-in-family
## 394 Married-civ-spouse Exec-managerial Husband
## 395 Never-married Other-service Not-in-family
## 396 Married-civ-spouse Tech-support Husband
## 397 Divorced Handlers-cleaners Unmarried
## 398 Never-married ? Other-relative
## 399 Married-civ-spouse Exec-managerial Husband
## 400 Married-civ-spouse Exec-managerial Husband
## 401 Never-married Handlers-cleaners Own-child
## 402 Never-married Other-service Not-in-family
## 403 Married-civ-spouse Protective-serv Husband
## 404 Divorced Tech-support Not-in-family
## 405 Married-civ-spouse Handlers-cleaners Husband
## 406 Married-civ-spouse Exec-managerial Husband
## 407 Married-civ-spouse Adm-clerical Husband
## 408 Married-civ-spouse Craft-repair Husband
## 409 Married-civ-spouse ? Wife
## 410 Married-civ-spouse Exec-managerial Husband
## 411 Divorced Other-service Not-in-family
## 412 Never-married Handlers-cleaners Unmarried
## 413 Divorced Exec-managerial Unmarried
## 414 Married-civ-spouse Exec-managerial Husband
## 415 Married-civ-spouse Machine-op-inspct Husband
## 416 Divorced Craft-repair Not-in-family
## 417 Married-civ-spouse Machine-op-inspct Husband
## 418 Never-married Other-service Own-child
## 419 Separated Machine-op-inspct Not-in-family
## 420 Divorced Transport-moving Unmarried
## 421 Married-civ-spouse Sales Husband
## 422 Never-married Handlers-cleaners Own-child
## 423 Married-civ-spouse Exec-managerial Wife
## 424 Divorced Farming-fishing Not-in-family
## 425 Never-married Craft-repair Unmarried
## 426 Married-civ-spouse Transport-moving Husband
## 427 Never-married Prof-specialty Not-in-family
## 428 Never-married Handlers-cleaners Not-in-family
## 429 Married-civ-spouse Exec-managerial Husband
## 430 Married-civ-spouse Prof-specialty Husband
## 431 Widowed ? Not-in-family
## 432 Never-married ? Own-child
## 433 Married-spouse-absent Prof-specialty Not-in-family
## 434 Married-civ-spouse Other-service Wife
## 435 Never-married Craft-repair Own-child
## 436 Married-civ-spouse Prof-specialty Husband
## 437 Never-married Farming-fishing Not-in-family
## 438 Never-married Protective-serv Not-in-family
## 439 Married-civ-spouse Adm-clerical Husband
## 440 Married-civ-spouse Adm-clerical Wife
## 441 Never-married Prof-specialty Not-in-family
## 442 Divorced Adm-clerical Not-in-family
## 443 Never-married Armed-Forces Own-child
## 444 Married-civ-spouse Prof-specialty Husband
## 445 Never-married Craft-repair Other-relative
## 446 Never-married Sales Not-in-family
## 447 Widowed Exec-managerial Unmarried
## 448 Married-civ-spouse Craft-repair Husband
## 449 Married-civ-spouse Machine-op-inspct Husband
## 450 Never-married ? Own-child
## 451 Never-married Machine-op-inspct Own-child
## 452 Married-civ-spouse Craft-repair Husband
## 453 Married-civ-spouse Craft-repair Husband
## 454 Married-civ-spouse Exec-managerial Husband
## 455 Married-civ-spouse Sales Wife
## 456 Married-civ-spouse Machine-op-inspct Husband
## 457 Married-civ-spouse Exec-managerial Wife
## 458 Married-civ-spouse Transport-moving Husband
## 459 Married-civ-spouse Transport-moving Husband
## 460 Married-civ-spouse ? Husband
## 461 Never-married Farming-fishing Own-child
## 462 Married-civ-spouse Transport-moving Husband
## 463 Married-civ-spouse Prof-specialty Husband
## 464 Married-spouse-absent Craft-repair Unmarried
## 465 Never-married Tech-support Not-in-family
## 466 Married-civ-spouse Adm-clerical Wife
## 467 Divorced Transport-moving Unmarried
## 468 Married-civ-spouse Transport-moving Husband
## 469 Married-civ-spouse Exec-managerial Husband
## 470 Married-civ-spouse Tech-support Wife
## 471 Never-married Prof-specialty Unmarried
## 472 Never-married ? Own-child
## 473 Never-married Craft-repair Not-in-family
## 474 Never-married Transport-moving Not-in-family
## 475 Divorced Other-service Not-in-family
## 476 Never-married Craft-repair Not-in-family
## 477 Never-married Other-service Not-in-family
## 478 Never-married Handlers-cleaners Own-child
## 479 Never-married Other-service Not-in-family
## 480 Never-married Other-service Unmarried
## 481 Married-civ-spouse Craft-repair Husband
## 482 Married-civ-spouse Craft-repair Husband
## 483 Never-married Prof-specialty Not-in-family
## 484 Married-spouse-absent Craft-repair Unmarried
## 485 Never-married ? Other-relative
## 486 Married-spouse-absent Adm-clerical Own-child
## 487 Married-civ-spouse ? Husband
## 488 Married-civ-spouse Transport-moving Husband
## 489 Divorced Prof-specialty Unmarried
## 490 Married-civ-spouse Sales Husband
## 491 Never-married Other-service Not-in-family
## 492 Divorced Adm-clerical Not-in-family
## 493 Never-married Exec-managerial Not-in-family
## 494 Divorced Prof-specialty Unmarried
## 495 Never-married Craft-repair Own-child
## 496 Divorced Adm-clerical Unmarried
## 497 Never-married Machine-op-inspct Own-child
## 498 Never-married Other-service Own-child
## 499 Never-married Prof-specialty Not-in-family
## 500 Married-civ-spouse ? Husband
## 501 Never-married Farming-fishing Not-in-family
## 502 Married-civ-spouse Transport-moving Husband
## 503 Married-civ-spouse Adm-clerical Husband
## 504 Divorced Other-service Unmarried
## 505 Never-married Sales Not-in-family
## 506 Never-married Exec-managerial Not-in-family
## 507 Never-married Protective-serv Own-child
## 508 Married-civ-spouse Exec-managerial Husband
## 509 Separated Adm-clerical Unmarried
## 510 Divorced Other-service Unmarried
## 511 Married-spouse-absent Handlers-cleaners Unmarried
## 512 Widowed ? Unmarried
## 513 Never-married Craft-repair Not-in-family
## 514 Married-civ-spouse Prof-specialty Husband
## 515 Divorced Craft-repair Not-in-family
## 516 Widowed ? Unmarried
## 517 Never-married Adm-clerical Not-in-family
## 518 Never-married ? Own-child
## 519 Never-married ? Unmarried
## 520 Married-civ-spouse Prof-specialty Husband
## 521 Married-civ-spouse Exec-managerial Husband
## 522 Married-civ-spouse Exec-managerial Husband
## 523 Divorced Handlers-cleaners Not-in-family
## 524 Married-civ-spouse Tech-support Husband
## 525 Divorced Machine-op-inspct Unmarried
## 526 Married-civ-spouse Sales Wife
## 527 Married-civ-spouse Exec-managerial Husband
## 528 Divorced Adm-clerical Not-in-family
## 529 Married-civ-spouse Craft-repair Husband
## 530 Married-civ-spouse Prof-specialty Husband
## 531 Divorced Machine-op-inspct Unmarried
## 532 Never-married Machine-op-inspct Not-in-family
## 533 Married-civ-spouse Other-service Husband
## 534 Married-civ-spouse Exec-managerial Wife
## 535 Married-civ-spouse Prof-specialty Husband
## 536 Married-civ-spouse Tech-support Husband
## 537 Widowed Priv-house-serv Not-in-family
## 538 Separated Craft-repair Not-in-family
## 539 Never-married Farming-fishing Not-in-family
## 540 Never-married ? Unmarried
## 541 Married-civ-spouse Transport-moving Husband
## 542 Never-married Prof-specialty Own-child
## 543 Never-married Handlers-cleaners Unmarried
## 544 Never-married Transport-moving Not-in-family
## 545 Married-civ-spouse Sales Husband
## 546 Never-married Handlers-cleaners Not-in-family
## 547 Married-civ-spouse Other-service Wife
## 548 Married-civ-spouse Protective-serv Husband
## 549 Never-married Handlers-cleaners Own-child
## 550 Never-married Craft-repair Unmarried
## 551 Divorced Exec-managerial Not-in-family
## 552 Separated Other-service Unmarried
## 553 Widowed Adm-clerical Unmarried
## 554 Married-civ-spouse Machine-op-inspct Wife
## 555 Divorced Craft-repair Unmarried
## 556 Never-married Machine-op-inspct Not-in-family
## 557 Married-civ-spouse Machine-op-inspct Husband
## 558 Separated Adm-clerical Unmarried
## 559 Married-civ-spouse Tech-support Wife
## 560 Married-civ-spouse Other-service Husband
## 561 Never-married Transport-moving Not-in-family
## 562 Married-civ-spouse Sales Husband
## 563 Married-civ-spouse Prof-specialty Husband
## 564 Never-married Handlers-cleaners Unmarried
## 565 Married-civ-spouse Prof-specialty Husband
## 566 Never-married Handlers-cleaners Own-child
## 567 Married-civ-spouse Exec-managerial Husband
## 568 Separated Other-service Unmarried
## 569 Separated Craft-repair Not-in-family
## 570 Divorced Exec-managerial Unmarried
## 571 Never-married Craft-repair Own-child
## 572 Married-civ-spouse Prof-specialty Husband
## 573 Never-married Sales Own-child
## 574 Married-civ-spouse Craft-repair Husband
## 575 Never-married Prof-specialty Not-in-family
## 576 Married-civ-spouse Exec-managerial Wife
## 577 Never-married ? Own-child
## 578 Divorced Sales Unmarried
## 579 Never-married Prof-specialty Not-in-family
## 580 Married-civ-spouse Craft-repair Husband
## 581 Married-civ-spouse ? Husband
## 582 Married-civ-spouse Sales Husband
## 583 Married-civ-spouse Craft-repair Husband
## 584 Married-civ-spouse Machine-op-inspct Husband
## 585 Never-married Tech-support Not-in-family
## 586 Never-married Sales Own-child
## 587 Never-married Adm-clerical Not-in-family
## 588 Never-married Other-service Own-child
## 589 Married-civ-spouse Craft-repair Husband
## 590 Divorced Prof-specialty Not-in-family
## 591 Married-civ-spouse ? Husband
## 592 Married-civ-spouse ? Wife
## 593 Never-married Transport-moving Not-in-family
## 594 Married-civ-spouse Prof-specialty Husband
## 595 Never-married Adm-clerical Own-child
## 596 Never-married Sales Own-child
## 597 Never-married ? Unmarried
## 598 Married-civ-spouse Prof-specialty Husband
## 599 Never-married Tech-support Not-in-family
## 600 Never-married Prof-specialty Not-in-family
## 601 Never-married Tech-support Not-in-family
## 602 Never-married Adm-clerical Own-child
## 603 Divorced Other-service Not-in-family
## 604 Married-civ-spouse Other-service Husband
## 605 Never-married Farming-fishing Not-in-family
## 606 Never-married Adm-clerical Unmarried
## 607 Married-civ-spouse Craft-repair Husband
## 608 Never-married Craft-repair Not-in-family
## 609 Separated Exec-managerial Not-in-family
## 610 Never-married Other-service Own-child
## 611 Divorced Prof-specialty Not-in-family
## 612 Never-married Craft-repair Not-in-family
## 613 Married-civ-spouse Handlers-cleaners Husband
## 614 Never-married Prof-specialty Own-child
## 615 Never-married Other-service Own-child
## 616 Never-married Handlers-cleaners Own-child
## 617 Married-civ-spouse Transport-moving Husband
## 618 Married-civ-spouse Exec-managerial Husband
## 619 Married-civ-spouse Sales Husband
## 620 Married-civ-spouse Prof-specialty Husband
## 621 Never-married Sales Own-child
## 622 Widowed Other-service Not-in-family
## 623 Widowed Priv-house-serv Unmarried
## 624 Married-civ-spouse Transport-moving Husband
## 625 Married-spouse-absent Handlers-cleaners Unmarried
## 626 Never-married Farming-fishing Own-child
## 627 Married-civ-spouse Sales Husband
## 628 Married-civ-spouse Sales Husband
## 629 Married-civ-spouse Exec-managerial Husband
## 630 Married-civ-spouse Sales Husband
## 631 Never-married Other-service Unmarried
## 632 Separated Other-service Unmarried
## 633 Married-civ-spouse Craft-repair Husband
## 634 Married-civ-spouse Adm-clerical Wife
## 635 Married-civ-spouse Craft-repair Husband
## 636 Never-married Other-service Own-child
## 637 Never-married Handlers-cleaners Not-in-family
## 638 Married-civ-spouse Exec-managerial Husband
## 639 Married-civ-spouse Transport-moving Husband
## 640 Married-civ-spouse Prof-specialty Husband
## 641 Divorced Craft-repair Not-in-family
## 642 Married-civ-spouse Craft-repair Husband
## 643 Never-married Handlers-cleaners Own-child
## 644 Married-civ-spouse Sales Husband
## 645 Married-civ-spouse Craft-repair Husband
## 646 Separated Prof-specialty Not-in-family
## 647 Divorced Adm-clerical Unmarried
## 648 Married-civ-spouse Craft-repair Husband
## 649 Married-civ-spouse ? Husband
## 650 Married-civ-spouse Tech-support Husband
## 651 Never-married Other-service Own-child
## 652 Never-married Exec-managerial Other-relative
## 653 Married-civ-spouse Prof-specialty Husband
## 654 Separated Exec-managerial Not-in-family
## 655 Never-married Machine-op-inspct Own-child
## 656 Never-married Adm-clerical Unmarried
## 657 Widowed ? Unmarried
## 658 Married-civ-spouse Craft-repair Husband
## 659 Married-civ-spouse Craft-repair Husband
## 660 Married-civ-spouse Machine-op-inspct Husband
## 661 Married-civ-spouse Handlers-cleaners Husband
## 662 Never-married Sales Not-in-family
## 663 Never-married Prof-specialty Not-in-family
## 664 Never-married Prof-specialty Not-in-family
## 665 Never-married Sales Not-in-family
## 666 Divorced Prof-specialty Unmarried
## 667 Married-civ-spouse Transport-moving Husband
## 668 Married-civ-spouse Craft-repair Husband
## 669 Married-spouse-absent ? Own-child
## 670 Never-married Machine-op-inspct Not-in-family
## 671 Divorced Exec-managerial Not-in-family
## 672 Never-married ? Own-child
## 673 Never-married Farming-fishing Own-child
## 674 Married-civ-spouse Exec-managerial Husband
## 675 Married-civ-spouse Sales Husband
## 676 Never-married Sales Own-child
## 677 Never-married Other-service Own-child
## 678 Married-civ-spouse Adm-clerical Husband
## 679 Never-married Craft-repair Not-in-family
## 680 Widowed Exec-managerial Not-in-family
## 681 Never-married Protective-serv Own-child
## 682 Married-civ-spouse Craft-repair Husband
## 683 Married-civ-spouse Craft-repair Husband
## 684 Separated Exec-managerial Unmarried
## 685 Never-married Adm-clerical Own-child
## 686 Divorced Exec-managerial Not-in-family
## 687 Never-married ? Not-in-family
## 688 Married-civ-spouse Prof-specialty Wife
## 689 Never-married Exec-managerial Not-in-family
## 690 Never-married Other-service Other-relative
## 691 Married-civ-spouse Farming-fishing Husband
## 692 Never-married Machine-op-inspct Own-child
## 693 Married-civ-spouse Prof-specialty Husband
## 694 Never-married Prof-specialty Own-child
## 695 Never-married Tech-support Not-in-family
## 696 Never-married ? Other-relative
## 697 Never-married Prof-specialty Not-in-family
## 698 Married-civ-spouse Tech-support Husband
## 699 Never-married Prof-specialty Own-child
## 700 Never-married Sales Own-child
## 701 Never-married Prof-specialty Not-in-family
## 702 Widowed Sales Unmarried
## 703 Never-married Handlers-cleaners Own-child
## 704 Married-civ-spouse Craft-repair Husband
## 705 Divorced Prof-specialty Unmarried
## 706 Divorced Exec-managerial Own-child
## 707 Married-civ-spouse Other-service Husband
## 708 Never-married Sales Not-in-family
## 709 Married-civ-spouse Craft-repair Husband
## 710 Never-married Other-service Other-relative
## 711 Married-civ-spouse Prof-specialty Husband
## 712 Divorced Adm-clerical Unmarried
## 713 Separated Prof-specialty Not-in-family
## 714 Married-civ-spouse Tech-support Husband
## 715 Divorced Adm-clerical Unmarried
## 716 Separated Other-service Unmarried
## 717 Married-civ-spouse Machine-op-inspct Husband
## 718 Never-married Tech-support Own-child
## 719 Never-married Sales Own-child
## 720 Married-civ-spouse Exec-managerial Husband
## 721 Never-married Other-service Not-in-family
## 722 Married-civ-spouse Craft-repair Husband
## 723 Never-married Prof-specialty Not-in-family
## 724 Married-civ-spouse Exec-managerial Husband
## 725 Married-civ-spouse Exec-managerial Husband
## 726 Never-married Prof-specialty Not-in-family
## 727 Married-civ-spouse Sales Wife
## 728 Never-married Other-service Not-in-family
## 729 Married-civ-spouse Other-service Husband
## 730 Married-civ-spouse Exec-managerial Husband
## 731 Never-married Other-service Not-in-family
## 732 Divorced Adm-clerical Not-in-family
## 733 Married-civ-spouse Adm-clerical Husband
## 734 Never-married Other-service Own-child
## 735 Married-civ-spouse ? Wife
## 736 Married-civ-spouse Craft-repair Husband
## 737 Never-married Sales Not-in-family
## 738 Married-civ-spouse Prof-specialty Husband
## 739 Widowed Other-service Unmarried
## 740 Married-civ-spouse Tech-support Husband
## 741 Never-married Other-service Other-relative
## 742 Married-civ-spouse Transport-moving Husband
## 743 Never-married Exec-managerial Not-in-family
## 744 Never-married Tech-support Own-child
## 745 Never-married Handlers-cleaners Own-child
## 746 Married-civ-spouse Prof-specialty Wife
## 747 Married-civ-spouse Transport-moving Husband
## 748 Never-married Adm-clerical Own-child
## 749 Never-married Craft-repair Own-child
## 750 Married-civ-spouse Prof-specialty Husband
## 751 Married-civ-spouse Exec-managerial Husband
## 752 Never-married Prof-specialty Unmarried
## 753 Married-civ-spouse Craft-repair Husband
## 754 Never-married Transport-moving Unmarried
## 755 Never-married Handlers-cleaners Not-in-family
## 756 Never-married Craft-repair Own-child
## 757 Married-civ-spouse Transport-moving Husband
## 758 Never-married Prof-specialty Not-in-family
## 759 Married-civ-spouse Adm-clerical Wife
## 760 Never-married Farming-fishing Not-in-family
## 761 Never-married Other-service Not-in-family
## 762 Married-civ-spouse Adm-clerical Wife
## 763 Divorced Protective-serv Unmarried
## 764 Married-civ-spouse Exec-managerial Husband
## 765 Never-married Sales Not-in-family
## 766 Separated Other-service Unmarried
## 767 Married-spouse-absent Other-service Other-relative
## 768 Married-civ-spouse Sales Wife
## 769 Divorced Sales Not-in-family
## 770 Never-married Machine-op-inspct Not-in-family
## 771 Never-married Farming-fishing Not-in-family
## 772 Separated Farming-fishing Not-in-family
## 773 Divorced Craft-repair Unmarried
## 774 Married-civ-spouse Tech-support Wife
## 775 Never-married Sales Not-in-family
## 776 Divorced Tech-support Not-in-family
## 777 Divorced Adm-clerical Unmarried
## 778 Married-civ-spouse Prof-specialty Husband
## 779 Married-civ-spouse Sales Husband
## 780 Never-married Tech-support Not-in-family
## 781 Married-civ-spouse Craft-repair Husband
## 782 Never-married Machine-op-inspct Not-in-family
## 783 Married-civ-spouse Exec-managerial Husband
## 784 Married-civ-spouse Exec-managerial Husband
## 785 Never-married Sales Not-in-family
## 786 Divorced Adm-clerical Not-in-family
## 787 Married-civ-spouse Farming-fishing Husband
## 788 Never-married Machine-op-inspct Own-child
## 789 Married-civ-spouse ? Husband
## 790 Never-married ? Not-in-family
## 791 Married-civ-spouse Tech-support Husband
## 792 Married-civ-spouse Tech-support Husband
## 793 Never-married ? Own-child
## 794 Never-married Sales Not-in-family
## 795 Married-civ-spouse Transport-moving Husband
## 796 Never-married Other-service Other-relative
## 797 Married-civ-spouse Machine-op-inspct Husband
## 798 Never-married Machine-op-inspct Not-in-family
## 799 Never-married Tech-support Not-in-family
## 800 Married-civ-spouse Exec-managerial Husband
## 801 Divorced Craft-repair Not-in-family
## 802 Never-married Other-service Own-child
## 803 Never-married Farming-fishing Unmarried
## 804 Divorced Adm-clerical Unmarried
## 805 Never-married Sales Own-child
## 806 Married-civ-spouse Craft-repair Husband
## 807 Married-spouse-absent ? Other-relative
## 808 Married-civ-spouse Prof-specialty Husband
## 809 Married-civ-spouse Prof-specialty Husband
## 810 Never-married Transport-moving Own-child
## 811 Separated Other-service Own-child
## 812 Never-married ? Own-child
## 813 Divorced Exec-managerial Not-in-family
## 814 Never-married Adm-clerical Own-child
## 815 Never-married Farming-fishing Own-child
## 816 Married-civ-spouse Other-service Wife
## 817 Never-married Prof-specialty Not-in-family
## 818 Married-civ-spouse Craft-repair Husband
## 819 Married-civ-spouse Transport-moving Husband
## 820 Married-civ-spouse Transport-moving Husband
## 821 Never-married Adm-clerical Unmarried
## 822 Never-married Prof-specialty Not-in-family
## 823 Never-married Tech-support Own-child
## 824 Widowed Adm-clerical Not-in-family
## 825 Married-civ-spouse Exec-managerial Husband
## 826 Widowed Transport-moving Unmarried
## 827 Widowed Other-service Not-in-family
## 828 Separated Machine-op-inspct Unmarried
## 829 Never-married Adm-clerical Not-in-family
## 830 Never-married Sales Own-child
## 831 Married-civ-spouse ? Husband
## 832 Married-civ-spouse Adm-clerical Wife
## 833 Never-married Handlers-cleaners Own-child
## 834 Married-civ-spouse Exec-managerial Husband
## 835 Widowed ? Not-in-family
## 836 Married-civ-spouse Machine-op-inspct Husband
## 837 Divorced Adm-clerical Not-in-family
## 838 Divorced Prof-specialty Not-in-family
## 839 Never-married Exec-managerial Not-in-family
## 840 Widowed Farming-fishing Not-in-family
## 841 Never-married Sales Own-child
## 842 Married-civ-spouse Craft-repair Husband
## 843 Married-civ-spouse Prof-specialty Husband
## 844 Widowed Prof-specialty Not-in-family
## 845 Married-civ-spouse Craft-repair Husband
## 846 Divorced Prof-specialty Not-in-family
## 847 Divorced Other-service Not-in-family
## 848 Married-civ-spouse Exec-managerial Husband
## 849 Married-civ-spouse Craft-repair Husband
## 850 Never-married Craft-repair Own-child
## 851 Widowed Prof-specialty Not-in-family
## 852 Divorced Adm-clerical Not-in-family
## 853 Married-civ-spouse Sales Husband
## 854 Never-married Prof-specialty Not-in-family
## 855 Divorced Prof-specialty Own-child
## 856 Never-married Transport-moving Own-child
## 857 Never-married Adm-clerical Own-child
## 858 Married-civ-spouse Other-service Husband
## 859 Never-married Prof-specialty Own-child
## 860 Never-married Exec-managerial Not-in-family
## 861 Never-married Adm-clerical Own-child
## 862 Married-civ-spouse Farming-fishing Husband
## 863 Married-civ-spouse Exec-managerial Husband
## 864 Married-civ-spouse Exec-managerial Husband
## 865 Married-civ-spouse Machine-op-inspct Husband
## 866 Never-married Sales Not-in-family
## 867 Never-married Handlers-cleaners Not-in-family
## 868 Never-married Sales Own-child
## 869 Married-civ-spouse Farming-fishing Husband
## 870 Separated Prof-specialty Own-child
## 871 Married-civ-spouse Exec-managerial Husband
## 872 Never-married Transport-moving Own-child
## 873 Married-civ-spouse Sales Husband
## 874 Married-civ-spouse Sales Husband
## 875 Divorced Other-service Unmarried
## 876 Married-civ-spouse Exec-managerial Husband
## 877 Never-married Handlers-cleaners Unmarried
## 878 Divorced Adm-clerical Unmarried
## 879 Married-civ-spouse Transport-moving Husband
## 880 Never-married Adm-clerical Not-in-family
## 881 Divorced Machine-op-inspct Not-in-family
## 882 Married-civ-spouse Adm-clerical Other-relative
## 883 Married-civ-spouse Craft-repair Husband
## 884 Married-civ-spouse Sales Husband
## 885 Married-civ-spouse Craft-repair Wife
## 886 Married-civ-spouse ? Husband
## 887 Never-married Exec-managerial Own-child
## 888 Married-civ-spouse Craft-repair Husband
## 889 Married-civ-spouse Sales Husband
## 890 Divorced Tech-support Not-in-family
## 891 Divorced ? Unmarried
## 892 Never-married Exec-managerial Not-in-family
## 893 Married-civ-spouse Adm-clerical Wife
## 894 Married-civ-spouse Prof-specialty Husband
## 895 Married-civ-spouse Farming-fishing Husband
## 896 Married-civ-spouse Prof-specialty Husband
## 897 Divorced Sales Own-child
## 898 Never-married Exec-managerial Own-child
## 899 Married-civ-spouse Exec-managerial Husband
## 900 Married-civ-spouse Tech-support Husband
## 901 Married-civ-spouse Other-service Husband
## 902 Married-civ-spouse Craft-repair Husband
## 903 Never-married Handlers-cleaners Own-child
## 904 Married-civ-spouse ? Own-child
## 905 Never-married Sales Not-in-family
## 906 Divorced Machine-op-inspct Not-in-family
## 907 Divorced Machine-op-inspct Not-in-family
## 908 Never-married Prof-specialty Own-child
## 909 Divorced Handlers-cleaners Own-child
## 910 Married-civ-spouse Tech-support Husband
## 911 Never-married Sales Not-in-family
## 912 Divorced Craft-repair Not-in-family
## 913 Married-civ-spouse Farming-fishing Husband
## 914 Never-married Craft-repair Not-in-family
## 915 Never-married Sales Own-child
## 916 Married-civ-spouse Exec-managerial Husband
## 917 Married-civ-spouse Prof-specialty Wife
## 918 Married-civ-spouse Exec-managerial Husband
## 919 Married-civ-spouse Exec-managerial Husband
## 920 Never-married Other-service Own-child
## 921 Never-married Sales Not-in-family
## 922 Never-married Transport-moving Unmarried
## 923 Married-civ-spouse Machine-op-inspct Wife
## 924 Married-civ-spouse Adm-clerical Wife
## 925 Married-civ-spouse ? Husband
## 926 Married-civ-spouse Machine-op-inspct Husband
## 927 Married-civ-spouse Machine-op-inspct Husband
## 928 Married-civ-spouse Exec-managerial Husband
## 929 Never-married Sales Not-in-family
## 930 Married-spouse-absent Priv-house-serv Not-in-family
## 931 Divorced Machine-op-inspct Not-in-family
## 932 Never-married ? Own-child
## 933 Married-civ-spouse Other-service Husband
## 934 Married-civ-spouse Adm-clerical Wife
## 935 Married-civ-spouse Machine-op-inspct Husband
## 936 Married-civ-spouse Craft-repair Husband
## 937 Never-married Prof-specialty Not-in-family
## 938 Married-civ-spouse Prof-specialty Husband
## 939 Married-civ-spouse Craft-repair Husband
## 940 Never-married Sales Not-in-family
## 941 Divorced Other-service Unmarried
## 942 Married-civ-spouse Machine-op-inspct Husband
## 943 Married-civ-spouse Exec-managerial Husband
## 944 Never-married Other-service Not-in-family
## 945 Married-civ-spouse Machine-op-inspct Husband
## 946 Divorced Exec-managerial Unmarried
## 947 Divorced Adm-clerical Unmarried
## 948 Married-civ-spouse Exec-managerial Wife
## 949 Divorced Craft-repair Unmarried
## 950 Divorced Farming-fishing Unmarried
## 951 Married-civ-spouse Prof-specialty Wife
## 952 Married-civ-spouse Exec-managerial Husband
## 953 Widowed Other-service Unmarried
## 954 Never-married Other-service Own-child
## 955 Married-civ-spouse Exec-managerial Husband
## 956 Married-civ-spouse Craft-repair Husband
## 957 Married-civ-spouse Sales Husband
## 958 Divorced Transport-moving Not-in-family
## 959 Married-civ-spouse Exec-managerial Husband
## 960 Married-civ-spouse Exec-managerial Husband
## 961 Married-civ-spouse Prof-specialty Husband
## 962 Divorced Machine-op-inspct Not-in-family
## 963 Married-civ-spouse Craft-repair Husband
## 964 Divorced Exec-managerial Unmarried
## 965 Married-civ-spouse Transport-moving Husband
## 966 Never-married Other-service Own-child
## 967 Married-civ-spouse Sales Husband
## 968 Married-civ-spouse Craft-repair Husband
## 969 Married-civ-spouse Exec-managerial Husband
## 970 Widowed ? Not-in-family
## 971 Married-civ-spouse Craft-repair Husband
## 972 Never-married Tech-support Not-in-family
## 973 Widowed Exec-managerial Not-in-family
## 974 Married-civ-spouse Craft-repair Husband
## 975 Never-married Transport-moving Unmarried
## 976 Never-married Sales Not-in-family
## 977 Never-married Exec-managerial Not-in-family
## 978 Married-civ-spouse Prof-specialty Husband
## 979 Widowed Other-service Not-in-family
## 980 Divorced Handlers-cleaners Own-child
## 981 Never-married Adm-clerical Not-in-family
## 982 Never-married Adm-clerical Not-in-family
## 983 Never-married ? Unmarried
## 984 Never-married Farming-fishing Unmarried
## 985 Widowed Protective-serv Not-in-family
## 986 Divorced Other-service Not-in-family
## 987 Never-married Craft-repair Own-child
## 988 Divorced Adm-clerical Unmarried
## 989 Divorced Craft-repair Unmarried
## 990 Widowed Prof-specialty Not-in-family
## 991 Never-married Sales Not-in-family
## 992 Married-civ-spouse Machine-op-inspct Husband
## 993 Married-civ-spouse Craft-repair Husband
## 994 Married-civ-spouse Adm-clerical Husband
## 995 Never-married Exec-managerial Not-in-family
## 996 Married-civ-spouse Exec-managerial Husband
## 997 Divorced Prof-specialty Not-in-family
## 998 Divorced Exec-managerial Unmarried
## 999 Married-civ-spouse Machine-op-inspct Husband
## 1000 Married-civ-spouse Exec-managerial Husband
## 1001 Never-married Other-service Own-child
## 1002 Married-civ-spouse Prof-specialty Husband
## 1003 Married-civ-spouse Prof-specialty Wife
## 1004 Never-married Prof-specialty Own-child
## 1005 Never-married Other-service Own-child
## 1006 Married-civ-spouse Adm-clerical Husband
## 1007 Separated Machine-op-inspct Not-in-family
## 1008 Married-civ-spouse Exec-managerial Husband
## 1009 Married-civ-spouse Craft-repair Husband
## 1010 Married-civ-spouse Sales Husband
## 1011 Divorced Machine-op-inspct Not-in-family
## 1012 Never-married Transport-moving Own-child
## 1013 Married-civ-spouse Machine-op-inspct Husband
## 1014 Married-civ-spouse Prof-specialty Husband
## 1015 Married-civ-spouse Prof-specialty Husband
## 1016 Married-civ-spouse Handlers-cleaners Husband
## 1017 Married-civ-spouse Tech-support Wife
## 1018 Widowed Other-service Unmarried
## 1019 Divorced Craft-repair Not-in-family
## 1020 Never-married ? Own-child
## 1021 Never-married Craft-repair Not-in-family
## 1022 Married-civ-spouse Prof-specialty Husband
## 1023 Separated Sales Not-in-family
## 1024 Married-civ-spouse Other-service Husband
## 1025 Never-married Machine-op-inspct Unmarried
## 1026 Married-civ-spouse Other-service Husband
## 1027 Never-married Prof-specialty Not-in-family
## 1028 Married-civ-spouse Exec-managerial Husband
## 1029 Married-civ-spouse Adm-clerical Wife
## 1030 Married-spouse-absent Sales Not-in-family
## 1031 Never-married Adm-clerical Not-in-family
## 1032 Never-married Other-service Own-child
## 1033 Never-married Sales Not-in-family
## 1034 Never-married Other-service Not-in-family
## 1035 Widowed ? Not-in-family
## 1036 Never-married ? Unmarried
## 1037 Married-civ-spouse Exec-managerial Husband
## 1038 Never-married Other-service Not-in-family
## 1039 Divorced Priv-house-serv Unmarried
## 1040 Married-civ-spouse ? Wife
## 1041 Never-married Other-service Not-in-family
## 1042 Never-married Machine-op-inspct Own-child
## 1043 Divorced Adm-clerical Not-in-family
## 1044 Married-civ-spouse Exec-managerial Husband
## 1045 Never-married Tech-support Not-in-family
## 1046 Divorced Prof-specialty Unmarried
## 1047 Never-married ? Not-in-family
## 1048 Married-civ-spouse Other-service Husband
## 1049 Never-married Sales Not-in-family
## 1050 Married-civ-spouse Prof-specialty Husband
## 1051 Married-civ-spouse Machine-op-inspct Husband
## 1052 Married-civ-spouse Sales Husband
## 1053 Married-civ-spouse Adm-clerical Husband
## 1054 Married-civ-spouse Sales Husband
## 1055 Divorced Craft-repair Not-in-family
## 1056 Married-civ-spouse Sales Husband
## 1057 Married-civ-spouse Transport-moving Husband
## 1058 Divorced Craft-repair Not-in-family
## 1059 Married-civ-spouse Prof-specialty Husband
## 1060 Married-civ-spouse Craft-repair Husband
## 1061 Married-civ-spouse Exec-managerial Husband
## 1062 Married-civ-spouse Machine-op-inspct Husband
## 1063 Married-civ-spouse Other-service Husband
## 1064 Separated Other-service Unmarried
## 1065 Married-civ-spouse Sales Husband
## 1066 Never-married Other-service Own-child
## 1067 Married-civ-spouse Prof-specialty Husband
## 1068 Married-civ-spouse Transport-moving Husband
## 1069 Married-civ-spouse Exec-managerial Husband
## 1070 Divorced Tech-support Not-in-family
## 1071 Never-married Prof-specialty Own-child
## 1072 Married-civ-spouse Craft-repair Husband
## 1073 Married-civ-spouse Craft-repair Husband
## 1074 Married-civ-spouse Prof-specialty Wife
## 1075 Never-married Adm-clerical Own-child
## 1076 Never-married Craft-repair Own-child
## 1077 Never-married Sales Not-in-family
## 1078 Never-married Sales Own-child
## 1079 Married-civ-spouse Craft-repair Husband
## 1080 Married-civ-spouse Prof-specialty Wife
## 1081 Separated Prof-specialty Unmarried
## 1082 Divorced Exec-managerial Not-in-family
## 1083 Married-civ-spouse Farming-fishing Husband
## 1084 Married-civ-spouse Protective-serv Husband
## 1085 Married-civ-spouse Adm-clerical Husband
## 1086 Married-civ-spouse Transport-moving Husband
## 1087 Married-civ-spouse Protective-serv Husband
## 1088 Never-married Exec-managerial Not-in-family
## 1089 Married-civ-spouse Exec-managerial Husband
## 1090 Divorced Craft-repair Own-child
## 1091 Married-civ-spouse Prof-specialty Husband
## 1092 Never-married Sales Not-in-family
## 1093 Married-spouse-absent Prof-specialty Not-in-family
## 1094 Divorced Craft-repair Not-in-family
## 1095 Never-married Adm-clerical Own-child
## 1096 Never-married Prof-specialty Own-child
## 1097 Married-civ-spouse Machine-op-inspct Husband
## 1098 Never-married ? Own-child
## 1099 Married-civ-spouse Sales Wife
## 1100 Divorced Prof-specialty Unmarried
## 1101 Married-civ-spouse ? Husband
## 1102 Married-civ-spouse Machine-op-inspct Husband
## 1103 Married-civ-spouse Exec-managerial Husband
## 1104 Married-civ-spouse Exec-managerial Husband
## 1105 Married-civ-spouse Prof-specialty Wife
## 1106 Divorced Adm-clerical Unmarried
## 1107 Never-married Prof-specialty Not-in-family
## 1108 Never-married Handlers-cleaners Own-child
## 1109 Married-civ-spouse Craft-repair Husband
## 1110 Married-civ-spouse Transport-moving Husband
## 1111 Married-civ-spouse Sales Husband
## 1112 Married-civ-spouse Sales Wife
## 1113 Never-married Adm-clerical Not-in-family
## 1114 Married-civ-spouse Sales Wife
## 1115 Divorced Handlers-cleaners Own-child
## 1116 Married-civ-spouse Machine-op-inspct Husband
## 1117 Married-civ-spouse Craft-repair Husband
## 1118 Married-civ-spouse Transport-moving Husband
## 1119 Married-civ-spouse Prof-specialty Wife
## 1120 Married-civ-spouse Prof-specialty Husband
## 1121 Married-civ-spouse Tech-support Husband
## 1122 Divorced Tech-support Not-in-family
## 1123 Married-civ-spouse Exec-managerial Husband
## 1124 Married-civ-spouse Tech-support Husband
## 1125 Divorced Other-service Unmarried
## 1126 Never-married Adm-clerical Own-child
## 1127 Married-civ-spouse Transport-moving Husband
## 1128 Widowed Handlers-cleaners Not-in-family
## 1129 Divorced Other-service Unmarried
## 1130 Married-civ-spouse Prof-specialty Husband
## 1131 Never-married Machine-op-inspct Not-in-family
## 1132 Divorced ? Not-in-family
## 1133 Never-married Other-service Unmarried
## 1134 Never-married Adm-clerical Own-child
## 1135 Divorced ? Unmarried
## 1136 Married-civ-spouse Exec-managerial Husband
## 1137 Married-civ-spouse Exec-managerial Husband
## 1138 Married-civ-spouse Adm-clerical Husband
## 1139 Married-civ-spouse Craft-repair Husband
## 1140 Married-civ-spouse Craft-repair Husband
## 1141 Never-married Other-service Own-child
## 1142 Never-married Sales Not-in-family
## 1143 Widowed Sales Unmarried
## 1144 Never-married Other-service Not-in-family
## 1145 Married-civ-spouse Sales Husband
## 1146 Married-civ-spouse Prof-specialty Husband
## 1147 Never-married Exec-managerial Not-in-family
## 1148 Married-civ-spouse Machine-op-inspct Husband
## 1149 Married-civ-spouse Exec-managerial Husband
## 1150 Married-civ-spouse Exec-managerial Husband
## 1151 Never-married Other-service Own-child
## 1152 Divorced Adm-clerical Unmarried
## 1153 Never-married ? Not-in-family
## 1154 Married-civ-spouse Craft-repair Husband
## 1155 Married-civ-spouse Protective-serv Husband
## 1156 Married-civ-spouse Farming-fishing Husband
## 1157 Married-civ-spouse Exec-managerial Husband
## 1158 Married-civ-spouse Prof-specialty Wife
## 1159 Never-married Transport-moving Unmarried
## 1160 Never-married Handlers-cleaners Own-child
## 1161 Married-civ-spouse Craft-repair Husband
## 1162 Widowed Transport-moving Unmarried
## 1163 Married-civ-spouse Sales Husband
## 1164 Married-civ-spouse Tech-support Husband
## 1165 Married-civ-spouse Prof-specialty Wife
## 1166 Divorced Adm-clerical Not-in-family
## 1167 Married-civ-spouse Adm-clerical Husband
## 1168 Never-married ? Own-child
## 1169 Married-civ-spouse Prof-specialty Husband
## 1170 Divorced Transport-moving Not-in-family
## 1171 Divorced Adm-clerical Not-in-family
## 1172 Divorced Other-service Not-in-family
## 1173 Married-civ-spouse Farming-fishing Not-in-family
## 1174 Never-married Other-service Not-in-family
## 1175 Married-civ-spouse Other-service Husband
## 1176 Married-civ-spouse ? Husband
## 1177 Never-married Adm-clerical Own-child
## 1178 Married-civ-spouse Prof-specialty Husband
## 1179 Never-married Adm-clerical Unmarried
## 1180 Never-married Other-service Not-in-family
## 1181 Married-civ-spouse ? Husband
## 1182 Divorced Exec-managerial Not-in-family
## 1183 Married-civ-spouse Prof-specialty Husband
## 1184 Married-civ-spouse Adm-clerical Husband
## 1185 Married-civ-spouse Craft-repair Husband
## 1186 Married-civ-spouse ? Husband
## 1187 Never-married Exec-managerial Own-child
## 1188 Married-civ-spouse Craft-repair Husband
## 1189 Never-married Adm-clerical Not-in-family
## 1190 Never-married Prof-specialty Own-child
## 1191 Divorced Other-service Not-in-family
## 1192 Married-civ-spouse Craft-repair Husband
## 1193 Married-civ-spouse Transport-moving Husband
## 1194 Married-civ-spouse Tech-support Husband
## 1195 Never-married Other-service Own-child
## 1196 Divorced Prof-specialty Not-in-family
## 1197 Married-civ-spouse Prof-specialty Husband
## 1198 Married-civ-spouse Prof-specialty Husband
## 1199 Never-married Machine-op-inspct Own-child
## 1200 Married-civ-spouse Craft-repair Husband
## 1201 Married-civ-spouse Adm-clerical Husband
## 1202 Married-civ-spouse Prof-specialty Husband
## 1203 Divorced Craft-repair Not-in-family
## 1204 Never-married Other-service Not-in-family
## 1205 Married-civ-spouse Craft-repair Husband
## 1206 Married-civ-spouse Sales Husband
## 1207 Married-civ-spouse Protective-serv Husband
## 1208 Married-civ-spouse Sales Husband
## 1209 Never-married ? Own-child
## 1210 Married-civ-spouse Machine-op-inspct Husband
## 1211 Married-civ-spouse Sales Husband
## 1212 Separated Adm-clerical Own-child
## 1213 Divorced Craft-repair Unmarried
## 1214 Married-civ-spouse Prof-specialty Husband
## 1215 Never-married Other-service Own-child
## 1216 Widowed ? Not-in-family
## 1217 Married-civ-spouse Craft-repair Husband
## 1218 Divorced ? Not-in-family
## 1219 Divorced Exec-managerial Not-in-family
## 1220 Married-civ-spouse Prof-specialty Husband
## 1221 Married-civ-spouse Craft-repair Husband
## 1222 Married-civ-spouse Craft-repair Husband
## 1223 Married-civ-spouse Craft-repair Husband
## 1224 Widowed Adm-clerical Own-child
## 1225 Married-civ-spouse Transport-moving Husband
## 1226 Never-married Adm-clerical Not-in-family
## 1227 Married-civ-spouse Prof-specialty Husband
## 1228 Married-civ-spouse Farming-fishing Husband
## 1229 Divorced Adm-clerical Unmarried
## 1230 Married-civ-spouse Prof-specialty Husband
## 1231 Married-civ-spouse Prof-specialty Husband
## 1232 Divorced Adm-clerical Unmarried
## 1233 Never-married Adm-clerical Not-in-family
## 1234 Married-civ-spouse Craft-repair Husband
## 1235 Separated Other-service Not-in-family
## 1236 Never-married Sales Not-in-family
## 1237 Never-married Sales Not-in-family
## 1238 Married-civ-spouse Sales Other-relative
## 1239 Never-married Other-service Own-child
## 1240 Never-married Adm-clerical Own-child
## 1241 Never-married Prof-specialty Not-in-family
## 1242 Separated Adm-clerical Not-in-family
## 1243 Widowed Exec-managerial Not-in-family
## 1244 Married-civ-spouse Exec-managerial Husband
## 1245 Never-married Other-service Not-in-family
## 1246 Widowed Other-service Not-in-family
## 1247 Married-civ-spouse Prof-specialty Husband
## 1248 Divorced Adm-clerical Not-in-family
## 1249 Married-civ-spouse Adm-clerical Wife
## 1250 Never-married Handlers-cleaners Own-child
## 1251 Married-civ-spouse Exec-managerial Husband
## 1252 Married-civ-spouse Exec-managerial Husband
## 1253 Married-civ-spouse Adm-clerical Husband
## 1254 Divorced Adm-clerical Not-in-family
## 1255 Never-married Transport-moving Not-in-family
## 1256 Married-civ-spouse Craft-repair Husband
## 1257 Never-married Adm-clerical Not-in-family
## 1258 Married-civ-spouse Sales Husband
## 1259 Married-civ-spouse Prof-specialty Husband
## 1260 Separated Adm-clerical Not-in-family
## 1261 Married-civ-spouse Craft-repair Husband
## 1262 Married-civ-spouse Transport-moving Husband
## 1263 Widowed ? Not-in-family
## 1264 Widowed Other-service Not-in-family
## 1265 Never-married Craft-repair Own-child
## 1266 Never-married Sales Not-in-family
## 1267 Married-civ-spouse Prof-specialty Husband
## 1268 Married-civ-spouse Craft-repair Husband
## 1269 Married-civ-spouse Adm-clerical Husband
## 1270 Divorced Protective-serv Not-in-family
## 1271 Never-married Exec-managerial Unmarried
## 1272 Married-civ-spouse Other-service Husband
## 1273 Never-married Other-service Not-in-family
## 1274 Never-married Tech-support Not-in-family
## 1275 Never-married Other-service Unmarried
## 1276 Married-civ-spouse Adm-clerical Husband
## 1277 Married-civ-spouse Sales Husband
## 1278 Married-civ-spouse Protective-serv Husband
## 1279 Married-civ-spouse Transport-moving Husband
## 1280 Married-civ-spouse Sales Husband
## 1281 Never-married Sales Not-in-family
## 1282 Divorced Prof-specialty Unmarried
## 1283 Married-civ-spouse ? Husband
## 1284 Never-married Farming-fishing Own-child
## 1285 Married-civ-spouse Adm-clerical Wife
## 1286 Married-civ-spouse Transport-moving Husband
## 1287 Married-civ-spouse Sales Husband
## 1288 Married-civ-spouse Other-service Husband
## 1289 Never-married Exec-managerial Not-in-family
## 1290 Married-civ-spouse Craft-repair Husband
## 1291 Married-civ-spouse ? Husband
## 1292 Widowed Other-service Unmarried
## 1293 Married-civ-spouse Transport-moving Husband
## 1294 Married-civ-spouse Prof-specialty Husband
## 1295 Married-civ-spouse Handlers-cleaners Husband
## 1296 Married-civ-spouse Craft-repair Husband
## 1297 Never-married Other-service Not-in-family
## 1298 Married-civ-spouse Tech-support Husband
## 1299 Never-married Other-service Own-child
## 1300 Married-civ-spouse Craft-repair Husband
## 1301 Never-married Armed-Forces Not-in-family
## 1302 Never-married Other-service Unmarried
## 1303 Married-civ-spouse Transport-moving Wife
## 1304 Married-civ-spouse Prof-specialty Husband
## 1305 Married-civ-spouse Exec-managerial Husband
## 1306 Married-civ-spouse Machine-op-inspct Husband
## 1307 Never-married Machine-op-inspct Not-in-family
## 1308 Never-married Adm-clerical Own-child
## 1309 Married-civ-spouse Sales Husband
## 1310 Married-civ-spouse Craft-repair Wife
## 1311 Married-civ-spouse Exec-managerial Husband
## 1312 Never-married Prof-specialty Not-in-family
## 1313 Never-married ? Not-in-family
## 1314 Divorced Adm-clerical Unmarried
## 1315 Married-civ-spouse Handlers-cleaners Husband
## 1316 Never-married Machine-op-inspct Own-child
## 1317 Married-civ-spouse Prof-specialty Husband
## 1318 Never-married ? Not-in-family
## 1319 Married-civ-spouse Prof-specialty Husband
## 1320 Married-civ-spouse Craft-repair Husband
## 1321 Widowed Adm-clerical Unmarried
## 1322 Never-married Adm-clerical Own-child
## 1323 Never-married Sales Not-in-family
## 1324 Married-civ-spouse Transport-moving Husband
## 1325 Married-civ-spouse Adm-clerical Husband
## 1326 Never-married ? Own-child
## 1327 Married-civ-spouse Handlers-cleaners Husband
## 1328 Widowed Other-service Unmarried
## 1329 Never-married Sales Own-child
## 1330 Never-married Other-service Unmarried
## 1331 Never-married Machine-op-inspct Other-relative
## 1332 Never-married Machine-op-inspct Not-in-family
## 1333 Never-married Machine-op-inspct Not-in-family
## 1334 Married-civ-spouse Prof-specialty Husband
## 1335 Married-civ-spouse Prof-specialty Husband
## 1336 Never-married Prof-specialty Not-in-family
## 1337 Never-married Prof-specialty Not-in-family
## 1338 Married-civ-spouse Exec-managerial Husband
## 1339 Divorced Tech-support Own-child
## 1340 Married-civ-spouse Exec-managerial Husband
## 1341 Never-married Prof-specialty Unmarried
## 1342 Married-spouse-absent Prof-specialty Not-in-family
## 1343 Divorced Adm-clerical Not-in-family
## 1344 Never-married Adm-clerical Own-child
## 1345 Never-married Sales Not-in-family
## 1346 Never-married Adm-clerical Own-child
## 1347 Married-civ-spouse Exec-managerial Husband
## 1348 Never-married ? Own-child
## 1349 Married-civ-spouse Exec-managerial Husband
## 1350 Married-civ-spouse ? Husband
## 1351 Never-married Prof-specialty Not-in-family
## 1352 Married-civ-spouse Craft-repair Husband
## 1353 Separated Sales Own-child
## 1354 Married-civ-spouse Craft-repair Husband
## 1355 Divorced Machine-op-inspct Not-in-family
## 1356 Married-civ-spouse Farming-fishing Husband
## 1357 Never-married Craft-repair Other-relative
## 1358 Never-married Tech-support Not-in-family
## 1359 Never-married Sales Not-in-family
## 1360 Never-married Machine-op-inspct Own-child
## 1361 Never-married Craft-repair Not-in-family
## 1362 Married-civ-spouse Craft-repair Husband
## 1363 Never-married Other-service Not-in-family
## 1364 Divorced Sales Unmarried
## 1365 Never-married Exec-managerial Not-in-family
## 1366 Divorced Exec-managerial Unmarried
## 1367 Married-civ-spouse Machine-op-inspct Wife
## 1368 Widowed Adm-clerical Not-in-family
## 1369 Married-civ-spouse Exec-managerial Husband
## 1370 Never-married Handlers-cleaners Own-child
## 1371 Never-married Other-service Own-child
## 1372 Married-civ-spouse ? Husband
## 1373 Never-married Other-service Not-in-family
## 1374 Married-civ-spouse Sales Husband
## 1375 Never-married Adm-clerical Not-in-family
## 1376 Divorced Sales Unmarried
## 1377 Married-civ-spouse Transport-moving Husband
## 1378 Married-civ-spouse Farming-fishing Husband
## 1379 Married-civ-spouse Sales Husband
## 1380 Divorced Exec-managerial Unmarried
## 1381 Separated Adm-clerical Own-child
## 1382 Never-married Sales Not-in-family
## 1383 Never-married Prof-specialty Not-in-family
## 1384 Never-married Handlers-cleaners Own-child
## 1385 Married-civ-spouse Exec-managerial Husband
## 1386 Never-married Machine-op-inspct Own-child
## 1387 Never-married Sales Not-in-family
## 1388 Divorced Exec-managerial Other-relative
## 1389 Never-married ? Own-child
## 1390 Never-married Other-service Own-child
## 1391 Never-married Tech-support Not-in-family
## 1392 Married-civ-spouse Craft-repair Husband
## 1393 Divorced Sales Unmarried
## 1394 Never-married Adm-clerical Unmarried
## 1395 Never-married Machine-op-inspct Not-in-family
## 1396 Never-married Transport-moving Unmarried
## 1397 Married-civ-spouse Transport-moving Husband
## 1398 Married-civ-spouse Sales Husband
## 1399 Married-civ-spouse Handlers-cleaners Husband
## 1400 Married-civ-spouse Transport-moving Husband
## 1401 Never-married Adm-clerical Not-in-family
## 1402 Married-civ-spouse Tech-support Husband
## 1403 Divorced Adm-clerical Not-in-family
## 1404 Married-civ-spouse Craft-repair Husband
## 1405 Divorced ? Unmarried
## 1406 Married-civ-spouse Other-service Husband
## 1407 Divorced Sales Own-child
## 1408 Married-civ-spouse Craft-repair Wife
## 1409 Divorced Transport-moving Not-in-family
## 1410 Married-civ-spouse Transport-moving Husband
## 1411 Widowed Other-service Unmarried
## 1412 Married-civ-spouse Other-service Husband
## 1413 Married-civ-spouse Prof-specialty Husband
## 1414 Married-civ-spouse Exec-managerial Husband
## 1415 Married-civ-spouse Exec-managerial Husband
## 1416 Married-civ-spouse Adm-clerical Husband
## 1417 Never-married Other-service Not-in-family
## 1418 Married-civ-spouse Sales Husband
## 1419 Married-civ-spouse Prof-specialty Wife
## 1420 Never-married Adm-clerical Not-in-family
## 1421 Never-married ? Own-child
## 1422 Married-civ-spouse Handlers-cleaners Husband
## 1423 Never-married Adm-clerical Own-child
## 1424 Divorced Other-service Not-in-family
## 1425 Married-civ-spouse Adm-clerical Husband
## 1426 Divorced Machine-op-inspct Unmarried
## 1427 Married-civ-spouse Farming-fishing Husband
## 1428 Married-civ-spouse Other-service Wife
## 1429 Never-married Machine-op-inspct Not-in-family
## 1430 Married-civ-spouse Transport-moving Husband
## 1431 Married-civ-spouse Machine-op-inspct Wife
## 1432 Divorced Exec-managerial Not-in-family
## 1433 Divorced Sales Not-in-family
## 1434 Never-married ? Own-child
## 1435 Never-married Protective-serv Not-in-family
## 1436 Married-civ-spouse Transport-moving Wife
## 1437 Never-married Other-service Not-in-family
## 1438 Married-civ-spouse Adm-clerical Wife
## 1439 Divorced Prof-specialty Unmarried
## 1440 Married-civ-spouse Sales Husband
## 1441 Married-civ-spouse Craft-repair Husband
## 1442 Married-civ-spouse ? Husband
## 1443 Married-civ-spouse Exec-managerial Husband
## 1444 Divorced Craft-repair Not-in-family
## 1445 Married-civ-spouse Other-service Husband
## 1446 Married-civ-spouse Transport-moving Husband
## 1447 Married-civ-spouse Sales Husband
## 1448 Married-civ-spouse Exec-managerial Husband
## 1449 Married-civ-spouse Exec-managerial Husband
## 1450 Married-civ-spouse Exec-managerial Husband
## 1451 Divorced Craft-repair Not-in-family
## 1452 Widowed Transport-moving Unmarried
## 1453 Never-married ? Own-child
## 1454 Married-civ-spouse Exec-managerial Husband
## 1455 Married-civ-spouse Craft-repair Husband
## 1456 Widowed Adm-clerical Unmarried
## 1457 Divorced Craft-repair Not-in-family
## 1458 Never-married Transport-moving Not-in-family
## 1459 Widowed ? Not-in-family
## 1460 Married-civ-spouse Prof-specialty Husband
## 1461 Married-civ-spouse Exec-managerial Husband
## 1462 Never-married Machine-op-inspct Not-in-family
## 1463 Never-married Craft-repair Not-in-family
## 1464 Married-civ-spouse Transport-moving Husband
## 1465 Divorced Craft-repair Not-in-family
## 1466 Married-civ-spouse Adm-clerical Husband
## 1467 Married-civ-spouse Craft-repair Husband
## 1468 Divorced Exec-managerial Not-in-family
## 1469 Never-married Protective-serv Not-in-family
## 1470 Married-civ-spouse Prof-specialty Husband
## 1471 Married-civ-spouse Transport-moving Husband
## 1472 Never-married Prof-specialty Own-child
## 1473 Never-married Prof-specialty Not-in-family
## 1474 Married-civ-spouse Prof-specialty Husband
## 1475 Never-married Handlers-cleaners Own-child
## 1476 Married-civ-spouse Adm-clerical Husband
## 1477 Divorced Other-service Unmarried
## 1478 Never-married Adm-clerical Own-child
## 1479 Never-married Adm-clerical Own-child
## 1480 Never-married Other-service Not-in-family
## 1481 Married-spouse-absent Craft-repair Not-in-family
## 1482 Married-civ-spouse Craft-repair Husband
## 1483 Married-civ-spouse Sales Husband
## 1484 Never-married Craft-repair Not-in-family
## 1485 Married-civ-spouse Prof-specialty Husband
## 1486 Married-civ-spouse Farming-fishing Husband
## 1487 Never-married Adm-clerical Unmarried
## 1488 Never-married Other-service Own-child
## 1489 Divorced Adm-clerical Unmarried
## 1490 Divorced Exec-managerial Unmarried
## 1491 Married-civ-spouse Sales Husband
## 1492 Divorced Exec-managerial Not-in-family
## 1493 Married-civ-spouse Adm-clerical Husband
## 1494 Married-civ-spouse Adm-clerical Husband
## 1495 Never-married Handlers-cleaners Other-relative
## 1496 Married-civ-spouse Craft-repair Husband
## 1497 Divorced Sales Not-in-family
## 1498 Divorced Sales Not-in-family
## 1499 Married-civ-spouse Exec-managerial Husband
## 1500 Never-married Adm-clerical Not-in-family
## 1501 Married-civ-spouse Exec-managerial Husband
## 1502 Divorced Machine-op-inspct Not-in-family
## 1503 Never-married Other-service Not-in-family
## 1504 Married-civ-spouse Exec-managerial Husband
## 1505 Married-civ-spouse ? Husband
## 1506 Married-civ-spouse Craft-repair Husband
## 1507 Married-civ-spouse Exec-managerial Husband
## 1508 Married-civ-spouse Sales Husband
## 1509 Never-married Adm-clerical Not-in-family
## 1510 Married-civ-spouse Adm-clerical Husband
## 1511 Married-spouse-absent Prof-specialty Unmarried
## 1512 Married-civ-spouse Prof-specialty Husband
## 1513 Married-civ-spouse Prof-specialty Husband
## 1514 Married-civ-spouse Prof-specialty Husband
## 1515 Married-civ-spouse Exec-managerial Husband
## 1516 Divorced Other-service Not-in-family
## 1517 Married-civ-spouse Adm-clerical Husband
## 1518 Married-civ-spouse Adm-clerical Wife
## 1519 Never-married Exec-managerial Own-child
## 1520 Never-married Other-service Own-child
## 1521 Married-civ-spouse Protective-serv Husband
## 1522 Divorced Other-service Not-in-family
## 1523 Divorced Exec-managerial Unmarried
## 1524 Never-married Farming-fishing Own-child
## 1525 Never-married Prof-specialty Not-in-family
## 1526 Never-married Handlers-cleaners Not-in-family
## 1527 Divorced Other-service Unmarried
## 1528 Married-civ-spouse Machine-op-inspct Husband
## 1529 Married-civ-spouse Exec-managerial Husband
## 1530 Divorced Exec-managerial Unmarried
## 1531 Married-civ-spouse Craft-repair Husband
## 1532 Married-civ-spouse Machine-op-inspct Husband
## 1533 Divorced Exec-managerial Unmarried
## 1534 Married-civ-spouse Transport-moving Husband
## 1535 Divorced Other-service Not-in-family
## 1536 Never-married Prof-specialty Not-in-family
## 1537 Married-civ-spouse Exec-managerial Husband
## 1538 Married-civ-spouse Machine-op-inspct Husband
## 1539 Married-civ-spouse Machine-op-inspct Wife
## 1540 Separated Other-service Not-in-family
## 1541 Divorced Adm-clerical Own-child
## 1542 Married-civ-spouse Prof-specialty Husband
## 1543 Separated Protective-serv Not-in-family
## 1544 Married-civ-spouse Craft-repair Husband
## 1545 Divorced ? Not-in-family
## 1546 Married-civ-spouse Craft-repair Husband
## 1547 Never-married Sales Own-child
## 1548 Married-civ-spouse Adm-clerical Husband
## 1549 Married-civ-spouse Craft-repair Husband
## 1550 Never-married Machine-op-inspct Unmarried
## 1551 Never-married Adm-clerical Own-child
## 1552 Never-married Handlers-cleaners Own-child
## 1553 Divorced Machine-op-inspct Not-in-family
## 1554 Never-married Adm-clerical Not-in-family
## 1555 Married-civ-spouse Prof-specialty Husband
## 1556 Divorced Transport-moving Unmarried
## 1557 Never-married Adm-clerical Not-in-family
## 1558 Never-married Sales Not-in-family
## 1559 Never-married Transport-moving Not-in-family
## 1560 Never-married Other-service Other-relative
## 1561 Never-married Handlers-cleaners Own-child
## 1562 Married-civ-spouse Craft-repair Husband
## 1563 Widowed ? Not-in-family
## 1564 Married-civ-spouse Protective-serv Husband
## 1565 Separated Other-service Other-relative
## 1566 Never-married Other-service Not-in-family
## 1567 Married-civ-spouse Farming-fishing Husband
## 1568 Never-married Other-service Not-in-family
## 1569 Married-civ-spouse Craft-repair Husband
## 1570 Never-married ? Own-child
## 1571 Never-married ? Own-child
## 1572 Married-civ-spouse Craft-repair Husband
## 1573 Never-married Other-service Own-child
## 1574 Never-married Handlers-cleaners Own-child
## 1575 Separated ? Own-child
## 1576 Married-civ-spouse Adm-clerical Husband
## 1577 Never-married Farming-fishing Not-in-family
## 1578 Never-married Tech-support Not-in-family
## 1579 Never-married Prof-specialty Not-in-family
## 1580 Widowed ? Not-in-family
## 1581 Married-civ-spouse Sales Husband
## 1582 Never-married Sales Own-child
## 1583 Married-civ-spouse Sales Husband
## 1584 Divorced Adm-clerical Not-in-family
## 1585 Married-civ-spouse Farming-fishing Husband
## 1586 Married-civ-spouse Craft-repair Husband
## 1587 Divorced Exec-managerial Unmarried
## 1588 Divorced Craft-repair Own-child
## 1589 Never-married Exec-managerial Own-child
## 1590 Never-married Adm-clerical Not-in-family
## 1591 Married-civ-spouse Protective-serv Husband
## 1592 Married-civ-spouse Prof-specialty Husband
## 1593 Never-married ? Own-child
## 1594 Married-civ-spouse Prof-specialty Husband
## 1595 Married-civ-spouse Other-service Husband
## 1596 Never-married Prof-specialty Not-in-family
## 1597 Married-civ-spouse Adm-clerical Wife
## 1598 Never-married Sales Not-in-family
## 1599 Never-married Machine-op-inspct Own-child
## 1600 Never-married Sales Not-in-family
## 1601 Married-civ-spouse Craft-repair Husband
## 1602 Divorced Exec-managerial Not-in-family
## 1603 Never-married Prof-specialty Own-child
## 1604 Married-civ-spouse Machine-op-inspct Husband
## 1605 Married-civ-spouse Tech-support Husband
## 1606 Married-civ-spouse Adm-clerical Husband
## 1607 Never-married ? Unmarried
## 1608 Separated Craft-repair Own-child
## 1609 Married-civ-spouse Craft-repair Husband
## 1610 Divorced Other-service Unmarried
## 1611 Divorced Sales Not-in-family
## 1612 Married-civ-spouse Prof-specialty Wife
## 1613 Married-civ-spouse Prof-specialty Husband
## 1614 Married-civ-spouse Machine-op-inspct Husband
## 1615 Never-married Adm-clerical Own-child
## 1616 Married-civ-spouse Prof-specialty Husband
## 1617 Married-civ-spouse Prof-specialty Husband
## 1618 Married-civ-spouse Exec-managerial Wife
## 1619 Never-married Craft-repair Other-relative
## 1620 Married-civ-spouse Transport-moving Husband
## 1621 Married-civ-spouse Sales Husband
## 1622 Married-civ-spouse Exec-managerial Husband
## 1623 Never-married Other-service Own-child
## 1624 Married-civ-spouse Exec-managerial Husband
## 1625 Never-married Other-service Not-in-family
## 1626 Married-civ-spouse Prof-specialty Husband
## 1627 Married-civ-spouse Craft-repair Husband
## 1628 Married-civ-spouse Sales Wife
## 1629 Married-civ-spouse Machine-op-inspct Wife
## 1630 Married-civ-spouse ? Wife
## 1631 Married-civ-spouse Other-service Husband
## 1632 Divorced Other-service Not-in-family
## 1633 Married-civ-spouse Adm-clerical Husband
## 1634 Never-married Farming-fishing Not-in-family
## 1635 Married-civ-spouse Machine-op-inspct Husband
## 1636 Married-civ-spouse Exec-managerial Husband
## 1637 Divorced Other-service Not-in-family
## 1638 Never-married Sales Not-in-family
## 1639 Married-civ-spouse Prof-specialty Husband
## 1640 Married-civ-spouse Machine-op-inspct Husband
## 1641 Divorced Other-service Other-relative
## 1642 Married-civ-spouse Prof-specialty Husband
## 1643 Married-civ-spouse Prof-specialty Husband
## 1644 Married-civ-spouse Prof-specialty Husband
## 1645 Married-civ-spouse Prof-specialty Wife
## 1646 Married-civ-spouse Adm-clerical Wife
## 1647 Married-civ-spouse Machine-op-inspct Husband
## 1648 Married-civ-spouse Sales Husband
## 1649 Married-civ-spouse Exec-managerial Husband
## 1650 Divorced Adm-clerical Not-in-family
## 1651 Never-married Handlers-cleaners Own-child
## 1652 Married-civ-spouse Craft-repair Husband
## 1653 Never-married Sales Own-child
## 1654 Married-civ-spouse Protective-serv Husband
## 1655 Married-civ-spouse Craft-repair Husband
## 1656 Married-civ-spouse Prof-specialty Husband
## 1657 Separated ? Unmarried
## 1658 Married-civ-spouse Craft-repair Husband
## 1659 Never-married Sales Own-child
## 1660 Married-civ-spouse Craft-repair Husband
## 1661 Married-civ-spouse Craft-repair Husband
## 1662 Married-civ-spouse Exec-managerial Husband
## 1663 Never-married Prof-specialty Not-in-family
## 1664 Married-civ-spouse Protective-serv Husband
## 1665 Married-civ-spouse Handlers-cleaners Husband
## 1666 Divorced ? Unmarried
## 1667 Married-civ-spouse Sales Husband
## 1668 Never-married Sales Not-in-family
## 1669 Married-civ-spouse Adm-clerical Husband
## 1670 Married-civ-spouse Prof-specialty Husband
## 1671 Married-civ-spouse Sales Husband
## 1672 Never-married Exec-managerial Unmarried
## 1673 Married-civ-spouse Craft-repair Husband
## 1674 Never-married Sales Own-child
## 1675 Married-civ-spouse Adm-clerical Wife
## 1676 Divorced Exec-managerial Unmarried
## 1677 Married-civ-spouse ? Husband
## 1678 Never-married Craft-repair Not-in-family
## 1679 Married-civ-spouse Craft-repair Husband
## 1680 Married-civ-spouse Transport-moving Husband
## 1681 Divorced Other-service Unmarried
## 1682 Married-civ-spouse Machine-op-inspct Husband
## 1683 Married-civ-spouse Exec-managerial Husband
## 1684 Married-civ-spouse Machine-op-inspct Wife
## 1685 Never-married Transport-moving Own-child
## 1686 Married-civ-spouse Exec-managerial Husband
## 1687 Never-married Other-service Not-in-family
## 1688 Married-civ-spouse Exec-managerial Husband
## 1689 Divorced Other-service Not-in-family
## 1690 Married-civ-spouse Prof-specialty Husband
## 1691 Never-married Other-service Not-in-family
## 1692 Never-married Adm-clerical Own-child
## 1693 Never-married Sales Own-child
## 1694 Married-civ-spouse Exec-managerial Wife
## 1695 Married-civ-spouse Sales Husband
## 1696 Married-civ-spouse Machine-op-inspct Husband
## 1697 Married-civ-spouse Exec-managerial Wife
## 1698 Married-civ-spouse Handlers-cleaners Husband
## 1699 Divorced Craft-repair Not-in-family
## 1700 Married-civ-spouse Prof-specialty Husband
## 1701 Divorced Adm-clerical Unmarried
## 1702 Never-married Other-service Own-child
## 1703 Married-civ-spouse Handlers-cleaners Husband
## 1704 Divorced Craft-repair Not-in-family
## 1705 Divorced ? Not-in-family
## 1706 Never-married Machine-op-inspct Not-in-family
## 1707 Married-civ-spouse Craft-repair Husband
## 1708 Widowed ? Not-in-family
## 1709 Never-married Machine-op-inspct Not-in-family
## 1710 Married-civ-spouse Exec-managerial Husband
## 1711 Widowed Sales Other-relative
## 1712 Married-civ-spouse Craft-repair Husband
## 1713 Married-civ-spouse Machine-op-inspct Husband
## 1714 Married-civ-spouse Sales Husband
## 1715 Married-civ-spouse Machine-op-inspct Husband
## 1716 Divorced Adm-clerical Unmarried
## 1717 Divorced Adm-clerical Not-in-family
## 1718 Married-civ-spouse Prof-specialty Husband
## 1719 Married-civ-spouse Sales Husband
## 1720 Married-civ-spouse Transport-moving Husband
## 1721 Divorced Adm-clerical Not-in-family
## 1722 Married-civ-spouse Protective-serv Husband
## 1723 Divorced Sales Not-in-family
## 1724 Married-civ-spouse Exec-managerial Husband
## 1725 Never-married Other-service Not-in-family
## 1726 Divorced Craft-repair Not-in-family
## 1727 Married-civ-spouse Craft-repair Husband
## 1728 Divorced Sales Not-in-family
## 1729 Married-civ-spouse Prof-specialty Wife
## 1730 Married-civ-spouse Other-service Husband
## 1731 Never-married Exec-managerial Own-child
## 1732 Never-married Exec-managerial Not-in-family
## 1733 Never-married Sales Not-in-family
## 1734 Never-married Other-service Not-in-family
## 1735 Never-married Sales Not-in-family
## 1736 Married-civ-spouse Exec-managerial Husband
## 1737 Never-married Craft-repair Other-relative
## 1738 Never-married Other-service Not-in-family
## 1739 Divorced Other-service Not-in-family
## 1740 Married-civ-spouse Transport-moving Husband
## 1741 Married-civ-spouse Adm-clerical Husband
## 1742 Married-civ-spouse Other-service Wife
## 1743 Divorced Craft-repair Not-in-family
## 1744 Never-married Adm-clerical Own-child
## 1745 Married-civ-spouse Craft-repair Husband
## 1746 Widowed Exec-managerial Not-in-family
## 1747 Never-married Prof-specialty Own-child
## 1748 Never-married Adm-clerical Not-in-family
## 1749 Never-married Other-service Not-in-family
## 1750 Widowed Adm-clerical Unmarried
## 1751 Never-married Machine-op-inspct Not-in-family
## 1752 Divorced Transport-moving Not-in-family
## 1753 Divorced Adm-clerical Unmarried
## 1754 Divorced Machine-op-inspct Not-in-family
## 1755 Married-civ-spouse Exec-managerial Husband
## 1756 Married-civ-spouse Exec-managerial Own-child
## 1757 Divorced Exec-managerial Not-in-family
## 1758 Never-married Farming-fishing Not-in-family
## 1759 Married-civ-spouse ? Husband
## 1760 Never-married Other-service Own-child
## 1761 Married-civ-spouse Prof-specialty Wife
## 1762 Married-civ-spouse ? Husband
## 1763 Divorced Adm-clerical Unmarried
## 1764 Never-married Machine-op-inspct Own-child
## 1765 Divorced Exec-managerial Not-in-family
## 1766 Married-civ-spouse Prof-specialty Wife
## 1767 Never-married Handlers-cleaners Other-relative
## 1768 Married-civ-spouse Machine-op-inspct Husband
## 1769 Married-civ-spouse Protective-serv Husband
## 1770 Married-civ-spouse Tech-support Husband
## 1771 Married-spouse-absent Protective-serv Not-in-family
## 1772 Married-civ-spouse Exec-managerial Husband
## 1773 Married-civ-spouse Craft-repair Husband
## 1774 Never-married ? Own-child
## 1775 Married-civ-spouse Other-service Wife
## 1776 Married-civ-spouse Machine-op-inspct Husband
## 1777 Married-civ-spouse Machine-op-inspct Husband
## 1778 Widowed Farming-fishing Unmarried
## 1779 Never-married ? Own-child
## 1780 Married-civ-spouse Sales Husband
## 1781 Married-civ-spouse Sales Husband
## 1782 Married-civ-spouse Exec-managerial Husband
## 1783 Never-married Other-service Own-child
## 1784 Married-civ-spouse Exec-managerial Husband
## 1785 Never-married Adm-clerical Not-in-family
## 1786 Married-spouse-absent Prof-specialty Not-in-family
## 1787 Married-civ-spouse Prof-specialty Wife
## 1788 Married-civ-spouse Exec-managerial Husband
## 1789 Divorced Adm-clerical Unmarried
## 1790 Married-spouse-absent Handlers-cleaners Unmarried
## 1791 Married-civ-spouse Tech-support Husband
## 1792 Divorced Craft-repair Not-in-family
## 1793 Never-married Other-service Unmarried
## 1794 Never-married Adm-clerical Not-in-family
## 1795 Married-civ-spouse Machine-op-inspct Husband
## 1796 Married-civ-spouse Sales Husband
## 1797 Never-married Adm-clerical Not-in-family
## 1798 Married-civ-spouse Handlers-cleaners Husband
## 1799 Married-civ-spouse Adm-clerical Husband
## 1800 Divorced Sales Not-in-family
## 1801 Married-civ-spouse Adm-clerical Husband
## 1802 Widowed Adm-clerical Unmarried
## 1803 Divorced Other-service Not-in-family
## 1804 Married-civ-spouse Prof-specialty Husband
## 1805 Never-married Exec-managerial Not-in-family
## 1806 Never-married Prof-specialty Not-in-family
## 1807 Married-civ-spouse Machine-op-inspct Husband
## 1808 Married-civ-spouse Sales Husband
## 1809 Married-civ-spouse Protective-serv Husband
## 1810 Divorced Exec-managerial Unmarried
## 1811 Married-civ-spouse Exec-managerial Husband
## 1812 Married-civ-spouse Exec-managerial Husband
## 1813 Married-civ-spouse Transport-moving Husband
## 1814 Widowed Sales Own-child
## 1815 Married-civ-spouse Sales Husband
## 1816 Never-married Handlers-cleaners Own-child
## 1817 Married-civ-spouse Craft-repair Husband
## 1818 Divorced Craft-repair Unmarried
## 1819 Married-civ-spouse Craft-repair Husband
## 1820 Married-civ-spouse Adm-clerical Husband
## 1821 Married-civ-spouse Handlers-cleaners Husband
## 1822 Never-married Craft-repair Not-in-family
## 1823 Never-married Sales Own-child
## 1824 Never-married ? Own-child
## 1825 Married-civ-spouse Transport-moving Husband
## 1826 Divorced Exec-managerial Unmarried
## 1827 Never-married Prof-specialty Unmarried
## 1828 Divorced Adm-clerical Unmarried
## 1829 Never-married Sales Own-child
## 1830 Divorced Transport-moving Unmarried
## 1831 Never-married Other-service Own-child
## 1832 Widowed Sales Not-in-family
## 1833 Married-civ-spouse Prof-specialty Husband
## 1834 Divorced Prof-specialty Not-in-family
## 1835 Never-married Craft-repair Not-in-family
## 1836 Never-married Adm-clerical Not-in-family
## 1837 Married-civ-spouse Sales Husband
## 1838 Married-civ-spouse Farming-fishing Husband
## 1839 Divorced Adm-clerical Unmarried
## 1840 Married-civ-spouse Adm-clerical Husband
## 1841 Never-married Craft-repair Not-in-family
## 1842 Married-civ-spouse Transport-moving Husband
## 1843 Married-civ-spouse Craft-repair Wife
## 1844 Married-civ-spouse Craft-repair Husband
## 1845 Never-married Transport-moving Not-in-family
## 1846 Never-married Transport-moving Not-in-family
## 1847 Never-married ? Own-child
## 1848 Never-married Other-service Own-child
## 1849 Never-married Prof-specialty Not-in-family
## 1850 Married-civ-spouse Craft-repair Husband
## 1851 Married-civ-spouse Handlers-cleaners Husband
## 1852 Married-civ-spouse ? Husband
## 1853 Never-married Handlers-cleaners Own-child
## 1854 Divorced Craft-repair Unmarried
## 1855 Never-married Transport-moving Unmarried
## 1856 Never-married Prof-specialty Own-child
## 1857 Never-married Prof-specialty Not-in-family
## 1858 Never-married Other-service Own-child
## 1859 Never-married Other-service Own-child
## 1860 Married-civ-spouse Adm-clerical Wife
## 1861 Divorced Sales Not-in-family
## 1862 Married-civ-spouse Machine-op-inspct Husband
## 1863 Married-civ-spouse Exec-managerial Husband
## 1864 Never-married Craft-repair Other-relative
## 1865 Married-civ-spouse Protective-serv Husband
## 1866 Married-spouse-absent ? Unmarried
## 1867 Never-married Other-service Not-in-family
## 1868 Divorced Adm-clerical Not-in-family
## 1869 Divorced Other-service Not-in-family
## 1870 Married-civ-spouse Prof-specialty Husband
## 1871 Married-civ-spouse Transport-moving Husband
## 1872 Never-married Adm-clerical Own-child
## 1873 Married-civ-spouse Exec-managerial Husband
## 1874 Never-married Adm-clerical Not-in-family
## 1875 Never-married Other-service Own-child
## 1876 Married-civ-spouse Sales Husband
## 1877 Separated Exec-managerial Not-in-family
## 1878 Married-civ-spouse Sales Husband
## 1879 Never-married ? Own-child
## 1880 Divorced Adm-clerical Not-in-family
## 1881 Never-married Other-service Unmarried
## 1882 Married-civ-spouse Tech-support Husband
## 1883 Married-civ-spouse Prof-specialty Wife
## 1884 Never-married Exec-managerial Not-in-family
## 1885 Never-married Exec-managerial Unmarried
## 1886 Never-married Other-service Not-in-family
## 1887 Never-married Sales Not-in-family
## 1888 Married-civ-spouse Farming-fishing Husband
## 1889 Never-married Other-service Own-child
## 1890 Married-civ-spouse Exec-managerial Wife
## 1891 Married-civ-spouse Farming-fishing Husband
## 1892 Widowed Exec-managerial Not-in-family
## 1893 Divorced Other-service Other-relative
## 1894 Married-civ-spouse Prof-specialty Husband
## 1895 Widowed Sales Not-in-family
## 1896 Separated Exec-managerial Not-in-family
## 1897 Married-civ-spouse Sales Husband
## 1898 Never-married Transport-moving Not-in-family
## 1899 Married-civ-spouse Machine-op-inspct Husband
## 1900 Never-married Prof-specialty Own-child
## 1901 Never-married Other-service Not-in-family
## 1902 Widowed Farming-fishing Unmarried
## 1903 Never-married Transport-moving Not-in-family
## 1904 Never-married Adm-clerical Not-in-family
## 1905 Married-civ-spouse Craft-repair Husband
## 1906 Married-civ-spouse Machine-op-inspct Husband
## 1907 Divorced Prof-specialty Unmarried
## 1908 Never-married Prof-specialty Not-in-family
## 1909 Married-civ-spouse Transport-moving Husband
## 1910 Married-civ-spouse Transport-moving Husband
## 1911 Married-civ-spouse Craft-repair Husband
## 1912 Never-married Machine-op-inspct Unmarried
## 1913 Married-civ-spouse Exec-managerial Husband
## 1914 Married-civ-spouse Craft-repair Husband
## 1915 Divorced Craft-repair Not-in-family
## 1916 Married-civ-spouse Exec-managerial Husband
## 1917 Married-civ-spouse Sales Husband
## 1918 Married-civ-spouse Protective-serv Husband
## 1919 Never-married Prof-specialty Own-child
## 1920 Never-married Adm-clerical Not-in-family
## 1921 Separated Adm-clerical Unmarried
## 1922 Married-civ-spouse Craft-repair Husband
## 1923 Married-civ-spouse Tech-support Husband
## 1924 Never-married ? Own-child
## 1925 Never-married Sales Own-child
## 1926 Never-married Exec-managerial Not-in-family
## 1927 Never-married Sales Not-in-family
## 1928 Married-civ-spouse Handlers-cleaners Husband
## 1929 Never-married Craft-repair Own-child
## 1930 Never-married Prof-specialty Not-in-family
## 1931 Divorced Adm-clerical Not-in-family
## 1932 Married-civ-spouse ? Own-child
## 1933 Married-civ-spouse Machine-op-inspct Other-relative
## 1934 Married-civ-spouse Tech-support Other-relative
## 1935 Married-civ-spouse Sales Husband
## 1936 Married-civ-spouse Exec-managerial Husband
## 1937 Separated Prof-specialty Unmarried
## 1938 Married-spouse-absent Exec-managerial Unmarried
## 1939 Married-civ-spouse Exec-managerial Husband
## 1940 Never-married Adm-clerical Not-in-family
## 1941 Married-civ-spouse Farming-fishing Husband
## 1942 Married-civ-spouse Sales Husband
## 1943 Divorced Protective-serv Unmarried
## 1944 Married-civ-spouse Adm-clerical Wife
## 1945 Never-married Adm-clerical Other-relative
## 1946 Married-civ-spouse Exec-managerial Husband
## 1947 Divorced Prof-specialty Not-in-family
## 1948 Never-married Adm-clerical Unmarried
## 1949 Married-civ-spouse Prof-specialty Husband
## 1950 Married-civ-spouse Exec-managerial Husband
## 1951 Married-civ-spouse Exec-managerial Husband
## 1952 Married-civ-spouse Exec-managerial Husband
## 1953 Never-married Prof-specialty Not-in-family
## 1954 Married-civ-spouse Machine-op-inspct Husband
## 1955 Married-civ-spouse Protective-serv Husband
## 1956 Never-married Transport-moving Own-child
## 1957 Married-civ-spouse Sales Husband
## 1958 Widowed Other-service Not-in-family
## 1959 Never-married Prof-specialty Not-in-family
## 1960 Married-civ-spouse Exec-managerial Husband
## 1961 Never-married Adm-clerical Own-child
## 1962 Married-civ-spouse Prof-specialty Husband
## 1963 Married-civ-spouse Prof-specialty Husband
## 1964 Married-civ-spouse Sales Husband
## 1965 Never-married Transport-moving Unmarried
## 1966 Divorced Other-service Unmarried
## 1967 Never-married Sales Own-child
## 1968 Never-married Adm-clerical Unmarried
## 1969 Married-civ-spouse Craft-repair Husband
## 1970 Married-civ-spouse Sales Husband
## 1971 Never-married Sales Not-in-family
## 1972 Separated ? Not-in-family
## 1973 Never-married Prof-specialty Not-in-family
## 1974 Married-civ-spouse Other-service Husband
## 1975 Married-civ-spouse Sales Husband
## 1976 Married-spouse-absent Prof-specialty Not-in-family
## 1977 Never-married Exec-managerial Not-in-family
## 1978 Never-married Sales Not-in-family
## 1979 Married-civ-spouse Farming-fishing Husband
## 1980 Divorced Handlers-cleaners Own-child
## 1981 Divorced Prof-specialty Not-in-family
## 1982 Married-civ-spouse Adm-clerical Husband
## 1983 Never-married Exec-managerial Not-in-family
## 1984 Married-civ-spouse Craft-repair Husband
## 1985 Married-civ-spouse Exec-managerial Husband
## 1986 Never-married Machine-op-inspct Not-in-family
## 1987 Married-civ-spouse Sales Husband
## 1988 Married-AF-spouse ? Wife
## 1989 Married-civ-spouse Craft-repair Husband
## 1990 Never-married Sales Not-in-family
## 1991 Never-married Priv-house-serv Not-in-family
## 1992 Never-married Handlers-cleaners Not-in-family
## 1993 Never-married Sales Not-in-family
## 1994 Divorced Exec-managerial Unmarried
## 1995 Never-married Exec-managerial Unmarried
## 1996 Divorced Machine-op-inspct Not-in-family
## 1997 Married-civ-spouse Sales Husband
## 1998 Married-spouse-absent Prof-specialty Not-in-family
## 1999 Married-civ-spouse Sales Husband
## 2000 Divorced Craft-repair Unmarried
## 2001 Never-married Craft-repair Unmarried
## 2002 Never-married Sales Other-relative
## 2003 Married-civ-spouse Farming-fishing Husband
## 2004 Married-civ-spouse Exec-managerial Wife
## 2005 Separated Sales Not-in-family
## 2006 Never-married Farming-fishing Own-child
## 2007 Never-married Adm-clerical Other-relative
## 2008 Married-civ-spouse Craft-repair Husband
## 2009 Never-married Craft-repair Own-child
## 2010 Married-spouse-absent Other-service Not-in-family
## 2011 Never-married Exec-managerial Not-in-family
## 2012 Never-married Other-service Own-child
## 2013 Never-married Other-service Not-in-family
## 2014 Never-married Prof-specialty Not-in-family
## 2015 Married-civ-spouse Prof-specialty Husband
## 2016 Never-married Prof-specialty Not-in-family
## 2017 Never-married Prof-specialty Not-in-family
## 2018 Never-married Adm-clerical Not-in-family
## 2019 Married-civ-spouse Exec-managerial Husband
## 2020 Never-married Craft-repair Own-child
## 2021 Married-civ-spouse Other-service Wife
## 2022 Never-married Prof-specialty Not-in-family
## 2023 Divorced Other-service Other-relative
## 2024 Divorced Other-service Own-child
## 2025 Married-civ-spouse Exec-managerial Husband
## 2026 Never-married ? Not-in-family
## 2027 Married-civ-spouse Machine-op-inspct Husband
## 2028 Never-married Handlers-cleaners Not-in-family
## 2029 Married-civ-spouse Tech-support Husband
## 2030 Married-civ-spouse Prof-specialty Husband
## 2031 Married-civ-spouse Exec-managerial Wife
## 2032 Married-civ-spouse Prof-specialty Wife
## 2033 Married-civ-spouse Craft-repair Husband
## 2034 Married-civ-spouse Craft-repair Husband
## 2035 Married-civ-spouse Sales Own-child
## 2036 Separated Exec-managerial Unmarried
## 2037 Never-married ? Other-relative
## 2038 Married-civ-spouse Craft-repair Husband
## 2039 Married-civ-spouse Prof-specialty Husband
## 2040 Married-civ-spouse Exec-managerial Husband
## 2041 Never-married Exec-managerial Unmarried
## 2042 Widowed Other-service Unmarried
## 2043 Married-civ-spouse Farming-fishing Husband
## 2044 Married-civ-spouse Exec-managerial Husband
## 2045 Divorced Exec-managerial Not-in-family
## 2046 Never-married Adm-clerical Own-child
## 2047 Never-married ? Not-in-family
## 2048 Never-married Craft-repair Not-in-family
## 2049 Married-civ-spouse Craft-repair Husband
## 2050 Married-spouse-absent Prof-specialty Own-child
## 2051 Never-married Adm-clerical Not-in-family
## 2052 Married-civ-spouse Sales Husband
## 2053 Never-married Other-service Other-relative
## 2054 Never-married Sales Unmarried
## 2055 Never-married Sales Not-in-family
## 2056 Married-civ-spouse Transport-moving Husband
## 2057 Never-married Prof-specialty Not-in-family
## 2058 Married-civ-spouse Transport-moving Husband
## 2059 Never-married Handlers-cleaners Own-child
## 2060 Never-married Adm-clerical Own-child
## 2061 Divorced Other-service Not-in-family
## 2062 Never-married ? Own-child
## 2063 Never-married Prof-specialty Own-child
## 2064 Married-civ-spouse Exec-managerial Husband
## 2065 Divorced Adm-clerical Not-in-family
## 2066 Never-married Priv-house-serv Unmarried
## 2067 Married-civ-spouse Exec-managerial Husband
## 2068 Widowed Adm-clerical Not-in-family
## 2069 Married-civ-spouse Other-service Wife
## 2070 Divorced Exec-managerial Own-child
## 2071 Never-married Prof-specialty Not-in-family
## 2072 Married-civ-spouse Farming-fishing Husband
## 2073 Married-civ-spouse ? Husband
## 2074 Married-civ-spouse Exec-managerial Husband
## 2075 Married-civ-spouse Protective-serv Husband
## 2076 Never-married Adm-clerical Own-child
## 2077 Divorced Other-service Unmarried
## 2078 Never-married Machine-op-inspct Own-child
## 2079 Never-married Farming-fishing Own-child
## 2080 Married-civ-spouse Exec-managerial Husband
## 2081 Separated Protective-serv Unmarried
## 2082 Married-civ-spouse Exec-managerial Husband
## 2083 Separated Exec-managerial Unmarried
## 2084 Divorced Machine-op-inspct Not-in-family
## 2085 Married-civ-spouse ? Wife
## 2086 Married-civ-spouse Exec-managerial Husband
## 2087 Married-civ-spouse Sales Husband
## 2088 Never-married Adm-clerical Own-child
## 2089 Married-civ-spouse Adm-clerical Wife
## 2090 Married-civ-spouse Other-service Husband
## 2091 Married-civ-spouse Sales Husband
## 2092 Never-married ? Not-in-family
## 2093 Divorced Sales Not-in-family
## 2094 Married-civ-spouse Sales Husband
## 2095 Never-married ? Own-child
## 2096 Married-civ-spouse Craft-repair Husband
## 2097 Never-married Prof-specialty Not-in-family
## 2098 Divorced Adm-clerical Not-in-family
## 2099 Married-civ-spouse Prof-specialty Husband
## 2100 Married-civ-spouse Craft-repair Husband
## 2101 Divorced Exec-managerial Not-in-family
## 2102 Married-civ-spouse Craft-repair Husband
## 2103 Divorced Craft-repair Unmarried
## 2104 Married-civ-spouse Sales Husband
## 2105 Married-civ-spouse Transport-moving Husband
## 2106 Never-married ? Own-child
## 2107 Married-civ-spouse Craft-repair Husband
## 2108 Married-spouse-absent Craft-repair Other-relative
## 2109 Married-civ-spouse Farming-fishing Husband
## 2110 Married-civ-spouse Sales Husband
## 2111 Married-civ-spouse Protective-serv Husband
## 2112 Separated Adm-clerical Unmarried
## 2113 Married-civ-spouse Adm-clerical Wife
## 2114 Never-married Sales Unmarried
## 2115 Never-married Exec-managerial Own-child
## 2116 Never-married Tech-support Own-child
## 2117 Divorced Craft-repair Not-in-family
## 2118 Divorced Prof-specialty Not-in-family
## 2119 Widowed ? Not-in-family
## 2120 Never-married Craft-repair Own-child
## 2121 Married-civ-spouse Adm-clerical Wife
## 2122 Never-married Machine-op-inspct Own-child
## 2123 Never-married Protective-serv Own-child
## 2124 Never-married Tech-support Own-child
## 2125 Never-married Priv-house-serv Own-child
## 2126 Never-married Sales Own-child
## 2127 Never-married ? Own-child
## 2128 Never-married Craft-repair Not-in-family
## 2129 Married-civ-spouse Other-service Wife
## 2130 Married-civ-spouse Prof-specialty Husband
## 2131 Separated Adm-clerical Unmarried
## 2132 Divorced Prof-specialty Unmarried
## 2133 Never-married Adm-clerical Not-in-family
## 2134 Never-married Exec-managerial Not-in-family
## 2135 Married-civ-spouse Craft-repair Husband
## 2136 Never-married Sales Not-in-family
## 2137 Never-married Priv-house-serv Not-in-family
## 2138 Divorced Adm-clerical Other-relative
## 2139 Never-married Other-service Not-in-family
## 2140 Married-civ-spouse Exec-managerial Husband
## 2141 Widowed Prof-specialty Unmarried
## 2142 Widowed Tech-support Unmarried
## 2143 Widowed Adm-clerical Unmarried
## 2144 Divorced Prof-specialty Own-child
## 2145 Married-civ-spouse Transport-moving Husband
## 2146 Married-civ-spouse Craft-repair Husband
## 2147 Never-married Prof-specialty Own-child
## 2148 Married-civ-spouse Machine-op-inspct Husband
## 2149 Divorced Prof-specialty Not-in-family
## 2150 Married-civ-spouse Craft-repair Husband
## 2151 Never-married Machine-op-inspct Not-in-family
## 2152 Never-married Adm-clerical Not-in-family
## 2153 Never-married ? Own-child
## 2154 Married-civ-spouse Prof-specialty Husband
## 2155 Widowed Priv-house-serv Not-in-family
## 2156 Married-civ-spouse ? Husband
## 2157 Married-civ-spouse Craft-repair Husband
## 2158 Married-civ-spouse Sales Husband
## 2159 Married-civ-spouse Sales Husband
## 2160 Married-civ-spouse Sales Husband
## 2161 Married-civ-spouse Exec-managerial Husband
## 2162 Never-married Other-service Not-in-family
## 2163 Never-married Craft-repair Own-child
## 2164 Married-civ-spouse ? Husband
## 2165 Married-civ-spouse ? Wife
## 2166 Never-married Other-service Own-child
## 2167 Married-civ-spouse Sales Husband
## 2168 Married-civ-spouse Exec-managerial Husband
## 2169 Divorced Sales Unmarried
## 2170 Separated Priv-house-serv Not-in-family
## 2171 Married-civ-spouse Craft-repair Husband
## 2172 Separated Protective-serv Own-child
## 2173 Married-civ-spouse Machine-op-inspct Husband
## 2174 Married-civ-spouse Transport-moving Husband
## 2175 Married-civ-spouse Sales Husband
## 2176 Married-civ-spouse Prof-specialty Wife
## 2177 Married-civ-spouse Craft-repair Husband
## 2178 Divorced Adm-clerical Not-in-family
## 2179 Married-civ-spouse Machine-op-inspct Husband
## 2180 Married-civ-spouse Exec-managerial Husband
## 2181 Married-civ-spouse Exec-managerial Wife
## 2182 Married-civ-spouse Prof-specialty Husband
## 2183 Divorced Sales Unmarried
## 2184 Married-civ-spouse Farming-fishing Husband
## 2185 Married-civ-spouse Sales Husband
## 2186 Divorced Craft-repair Other-relative
## 2187 Divorced Prof-specialty Not-in-family
## 2188 Never-married Machine-op-inspct Not-in-family
## 2189 Never-married Sales Not-in-family
## 2190 Widowed Transport-moving Not-in-family
## 2191 Married-civ-spouse Transport-moving Husband
## 2192 Never-married Adm-clerical Not-in-family
## 2193 Separated Adm-clerical Own-child
## 2194 Married-civ-spouse Handlers-cleaners Other-relative
## 2195 Married-civ-spouse Sales Husband
## 2196 Married-civ-spouse Machine-op-inspct Husband
## 2197 Married-civ-spouse Craft-repair Husband
## 2198 Never-married Adm-clerical Own-child
## 2199 Married-civ-spouse Adm-clerical Wife
## 2200 Married-civ-spouse Transport-moving Husband
## 2201 Married-civ-spouse Farming-fishing Husband
## 2202 Married-civ-spouse Adm-clerical Husband
## 2203 Widowed Adm-clerical Unmarried
## 2204 Never-married Prof-specialty Own-child
## 2205 Separated Exec-managerial Unmarried
## 2206 Married-civ-spouse Machine-op-inspct Wife
## 2207 Married-civ-spouse Transport-moving Husband
## 2208 Never-married Other-service Not-in-family
## 2209 Married-civ-spouse Sales Husband
## 2210 Widowed Protective-serv Not-in-family
## 2211 Divorced ? Not-in-family
## 2212 Never-married Other-service Not-in-family
## 2213 Married-civ-spouse Handlers-cleaners Husband
## 2214 Married-civ-spouse ? Husband
## 2215 Never-married Other-service Not-in-family
## 2216 Married-civ-spouse Sales Husband
## 2217 Never-married Adm-clerical Not-in-family
## 2218 Married-civ-spouse Exec-managerial Husband
## 2219 Never-married Machine-op-inspct Unmarried
## 2220 Divorced Sales Not-in-family
## 2221 Never-married Craft-repair Not-in-family
## 2222 Separated Other-service Not-in-family
## 2223 Never-married ? Own-child
## 2224 Never-married Craft-repair Own-child
## 2225 Never-married Transport-moving Unmarried
## 2226 Never-married Tech-support Not-in-family
## 2227 Separated Adm-clerical Unmarried
## 2228 Separated Prof-specialty Not-in-family
## 2229 Married-civ-spouse Adm-clerical Wife
## 2230 Married-civ-spouse Transport-moving Husband
## 2231 Married-civ-spouse Sales Husband
## 2232 Never-married Exec-managerial Own-child
## 2233 Never-married Sales Not-in-family
## 2234 Married-civ-spouse Sales Husband
## 2235 Married-civ-spouse Machine-op-inspct Husband
## 2236 Divorced Prof-specialty Unmarried
## 2237 Married-civ-spouse Tech-support Wife
## 2238 Married-civ-spouse Prof-specialty Husband
## 2239 Never-married Tech-support Unmarried
## 2240 Married-civ-spouse Adm-clerical Husband
## 2241 Married-civ-spouse Prof-specialty Husband
## 2242 Married-civ-spouse Craft-repair Husband
## 2243 Married-civ-spouse Handlers-cleaners Husband
## 2244 Married-civ-spouse Craft-repair Husband
## 2245 Divorced Exec-managerial Unmarried
## 2246 Married-civ-spouse Craft-repair Husband
## 2247 Divorced Sales Not-in-family
## 2248 Divorced Adm-clerical Not-in-family
## 2249 Never-married Handlers-cleaners Own-child
## 2250 Married-civ-spouse Adm-clerical Husband
## 2251 Divorced Exec-managerial Unmarried
## 2252 Never-married Adm-clerical Unmarried
## 2253 Married-civ-spouse Adm-clerical Husband
## 2254 Never-married Exec-managerial Not-in-family
## 2255 Married-civ-spouse Exec-managerial Husband
## 2256 Separated Other-service Not-in-family
## 2257 Married-civ-spouse Farming-fishing Husband
## 2258 Never-married Other-service Own-child
## 2259 Married-civ-spouse Sales Husband
## 2260 Never-married Exec-managerial Unmarried
## 2261 Never-married Transport-moving Own-child
## 2262 Married-civ-spouse Craft-repair Other-relative
## 2263 Divorced Adm-clerical Not-in-family
## 2264 Divorced Craft-repair Not-in-family
## 2265 Never-married Exec-managerial Own-child
## 2266 Married-civ-spouse Sales Husband
## 2267 Never-married Machine-op-inspct Own-child
## 2268 Never-married Transport-moving Unmarried
## 2269 Married-civ-spouse Craft-repair Husband
## 2270 Married-civ-spouse Sales Husband
## 2271 Divorced Craft-repair Unmarried
## 2272 Never-married Machine-op-inspct Not-in-family
## 2273 Never-married Sales Own-child
## 2274 Married-civ-spouse Sales Husband
## 2275 Married-civ-spouse Craft-repair Husband
## 2276 Married-civ-spouse Machine-op-inspct Husband
## 2277 Widowed Other-service Own-child
## 2278 Married-civ-spouse Craft-repair Husband
## 2279 Never-married Sales Other-relative
## 2280 Never-married Prof-specialty Not-in-family
## 2281 Never-married Prof-specialty Not-in-family
## 2282 Never-married ? Own-child
## 2283 Married-civ-spouse Other-service Husband
## 2284 Never-married Prof-specialty Unmarried
## 2285 Never-married Prof-specialty Not-in-family
## 2286 Never-married Sales Not-in-family
## 2287 Married-civ-spouse Prof-specialty Husband
## 2288 Married-civ-spouse Prof-specialty Husband
## 2289 Married-civ-spouse Protective-serv Other-relative
## 2290 Married-civ-spouse Craft-repair Husband
## 2291 Never-married Handlers-cleaners Own-child
## 2292 Divorced Craft-repair Not-in-family
## 2293 Never-married ? Own-child
## 2294 Married-civ-spouse Craft-repair Husband
## 2295 Divorced Craft-repair Unmarried
## 2296 Never-married Machine-op-inspct Own-child
## 2297 Never-married Craft-repair Other-relative
## 2298 Divorced Adm-clerical Unmarried
## 2299 Married-civ-spouse Other-service Husband
## 2300 Separated Adm-clerical Unmarried
## 2301 Divorced Exec-managerial Not-in-family
## 2302 Separated Sales Not-in-family
## 2303 Divorced Tech-support Not-in-family
## 2304 Never-married Other-service Not-in-family
## 2305 Married-civ-spouse Sales Husband
## 2306 Married-civ-spouse Other-service Wife
## 2307 Married-civ-spouse Craft-repair Husband
## 2308 Never-married Handlers-cleaners Own-child
## 2309 Married-civ-spouse Prof-specialty Husband
## 2310 Widowed Adm-clerical Not-in-family
## 2311 Widowed Transport-moving Not-in-family
## 2312 Married-spouse-absent Prof-specialty Not-in-family
## 2313 Married-civ-spouse Sales Wife
## 2314 Never-married Adm-clerical Own-child
## 2315 Married-civ-spouse Adm-clerical Wife
## 2316 Widowed Craft-repair Not-in-family
## 2317 Married-civ-spouse Exec-managerial Husband
## 2318 Never-married Sales Not-in-family
## 2319 Married-civ-spouse Prof-specialty Husband
## 2320 Married-civ-spouse Sales Husband
## 2321 Never-married Craft-repair Not-in-family
## 2322 Married-civ-spouse Protective-serv Husband
## 2323 Never-married Craft-repair Own-child
## 2324 Never-married ? Own-child
## 2325 Married-civ-spouse Exec-managerial Husband
## 2326 Married-civ-spouse Exec-managerial Husband
## 2327 Widowed Craft-repair Unmarried
## 2328 Married-spouse-absent ? Not-in-family
## 2329 Married-civ-spouse Farming-fishing Husband
## 2330 Divorced Sales Not-in-family
## 2331 Married-civ-spouse Exec-managerial Wife
## 2332 Divorced Prof-specialty Not-in-family
## 2333 Married-civ-spouse Transport-moving Husband
## 2334 Separated Transport-moving Not-in-family
## 2335 Married-civ-spouse Exec-managerial Husband
## 2336 Never-married Adm-clerical Own-child
## 2337 Married-spouse-absent Machine-op-inspct Not-in-family
## 2338 Never-married Transport-moving Own-child
## 2339 Never-married Tech-support Own-child
## 2340 Married-civ-spouse Exec-managerial Husband
## 2341 Divorced ? Not-in-family
## 2342 Married-civ-spouse Craft-repair Husband
## 2343 Never-married Farming-fishing Not-in-family
## 2344 Never-married Other-service Unmarried
## 2345 Married-civ-spouse Exec-managerial Husband
## 2346 Married-civ-spouse Sales Husband
## 2347 Married-civ-spouse Tech-support Husband
## 2348 Never-married Handlers-cleaners Own-child
## 2349 Married-civ-spouse Craft-repair Husband
## 2350 Never-married Exec-managerial Not-in-family
## 2351 Divorced Exec-managerial Not-in-family
## 2352 Never-married Exec-managerial Not-in-family
## 2353 Married-civ-spouse Exec-managerial Husband
## 2354 Married-civ-spouse Farming-fishing Husband
## 2355 Never-married ? Own-child
## 2356 Married-civ-spouse Sales Husband
## 2357 Separated ? Own-child
## 2358 Married-civ-spouse Other-service Husband
## 2359 Married-civ-spouse ? Husband
## 2360 Never-married ? Own-child
## 2361 Married-civ-spouse Exec-managerial Husband
## 2362 Married-civ-spouse Prof-specialty Husband
## 2363 Married-civ-spouse Craft-repair Husband
## 2364 Never-married Handlers-cleaners Own-child
## 2365 Never-married Transport-moving Own-child
## 2366 Separated Other-service Not-in-family
## 2367 Never-married Adm-clerical Not-in-family
## 2368 Separated Prof-specialty Not-in-family
## 2369 Never-married Craft-repair Own-child
## 2370 Married-civ-spouse Handlers-cleaners Husband
## 2371 Married-civ-spouse Protective-serv Husband
## 2372 Separated Prof-specialty Not-in-family
## 2373 Married-civ-spouse ? Husband
## 2374 Married-civ-spouse Craft-repair Husband
## 2375 Never-married Prof-specialty Not-in-family
## 2376 Divorced Sales Not-in-family
## 2377 Never-married Sales Not-in-family
## 2378 Married-civ-spouse Machine-op-inspct Husband
## 2379 Separated Adm-clerical Unmarried
## 2380 Divorced Exec-managerial Not-in-family
## 2381 Never-married ? Not-in-family
## 2382 Never-married Craft-repair Own-child
## 2383 Never-married ? Not-in-family
## 2384 Married-spouse-absent Other-service Unmarried
## 2385 Never-married Exec-managerial Own-child
## 2386 Married-civ-spouse Sales Husband
## 2387 Married-civ-spouse Sales Husband
## 2388 Married-civ-spouse Farming-fishing Husband
## 2389 Married-civ-spouse Transport-moving Husband
## 2390 Married-civ-spouse Adm-clerical Husband
## 2391 Married-civ-spouse Exec-managerial Husband
## 2392 Never-married Prof-specialty Not-in-family
## 2393 Married-civ-spouse Handlers-cleaners Husband
## 2394 Never-married Handlers-cleaners Not-in-family
## 2395 Never-married Sales Own-child
## 2396 Never-married Machine-op-inspct Not-in-family
## 2397 Never-married Prof-specialty Not-in-family
## 2398 Never-married ? Own-child
## 2399 Never-married Sales Own-child
## 2400 Divorced Machine-op-inspct Not-in-family
## 2401 Never-married Adm-clerical Not-in-family
## 2402 Never-married Machine-op-inspct Own-child
## 2403 Married-civ-spouse Other-service Husband
## 2404 Married-civ-spouse Exec-managerial Husband
## 2405 Married-civ-spouse Sales Husband
## 2406 Married-civ-spouse Machine-op-inspct Husband
## 2407 Married-civ-spouse Exec-managerial Husband
## 2408 Married-civ-spouse Other-service Wife
## 2409 Never-married Adm-clerical Not-in-family
## 2410 Never-married Other-service Own-child
## 2411 Married-civ-spouse Other-service Husband
## 2412 Divorced Adm-clerical Unmarried
## 2413 Never-married Exec-managerial Own-child
## 2414 Never-married Farming-fishing Not-in-family
## 2415 Divorced Exec-managerial Unmarried
## 2416 Married-civ-spouse Prof-specialty Husband
## 2417 Married-civ-spouse Farming-fishing Husband
## 2418 Never-married Adm-clerical Own-child
## 2419 Never-married Sales Not-in-family
## 2420 Married-civ-spouse Craft-repair Husband
## 2421 Married-civ-spouse ? Husband
## 2422 Widowed Adm-clerical Not-in-family
## 2423 Married-civ-spouse Transport-moving Husband
## 2424 Never-married Sales Not-in-family
## 2425 Married-civ-spouse Machine-op-inspct Husband
## 2426 Married-civ-spouse Machine-op-inspct Husband
## 2427 Married-civ-spouse Prof-specialty Husband
## 2428 Never-married ? Own-child
## 2429 Never-married Sales Own-child
## 2430 Married-civ-spouse Farming-fishing Husband
## 2431 Married-civ-spouse Craft-repair Husband
## 2432 Married-civ-spouse Craft-repair Husband
## 2433 Married-civ-spouse Sales Husband
## 2434 Married-civ-spouse Exec-managerial Husband
## 2435 Never-married Tech-support Not-in-family
## 2436 Never-married Other-service Unmarried
## 2437 Never-married Adm-clerical Not-in-family
## 2438 Never-married Other-service Not-in-family
## 2439 Never-married Tech-support Own-child
## 2440 Married-civ-spouse Craft-repair Husband
## 2441 Married-civ-spouse Sales Husband
## 2442 Married-civ-spouse Machine-op-inspct Husband
## 2443 Divorced Adm-clerical Unmarried
## 2444 Never-married Craft-repair Other-relative
## 2445 Never-married Sales Own-child
## 2446 Married-civ-spouse Prof-specialty Husband
## 2447 Married-civ-spouse Handlers-cleaners Husband
## 2448 Divorced Other-service Not-in-family
## 2449 Never-married Protective-serv Not-in-family
## 2450 Separated Other-service Own-child
## 2451 Divorced Sales Not-in-family
## 2452 Never-married Other-service Unmarried
## 2453 Never-married Sales Not-in-family
## 2454 Married-civ-spouse Adm-clerical Wife
## 2455 Divorced Adm-clerical Unmarried
## 2456 Divorced Machine-op-inspct Not-in-family
## 2457 Married-civ-spouse Sales Husband
## 2458 Married-civ-spouse Craft-repair Husband
## 2459 Separated Adm-clerical Unmarried
## 2460 Divorced Craft-repair Own-child
## 2461 Married-civ-spouse Craft-repair Husband
## 2462 Never-married Craft-repair Not-in-family
## 2463 Married-civ-spouse Exec-managerial Husband
## 2464 Divorced Protective-serv Not-in-family
## 2465 Married-civ-spouse ? Husband
## 2466 Married-civ-spouse Sales Husband
## 2467 Divorced Machine-op-inspct Not-in-family
## 2468 Divorced Sales Other-relative
## 2469 Divorced Sales Not-in-family
## 2470 Married-civ-spouse Sales Wife
## 2471 Married-civ-spouse Tech-support Husband
## 2472 Never-married Prof-specialty Not-in-family
## 2473 Married-civ-spouse Tech-support Other-relative
## 2474 Married-civ-spouse Sales Husband
## 2475 Married-civ-spouse Craft-repair Husband
## 2476 Never-married Transport-moving Own-child
## 2477 Never-married ? Not-in-family
## 2478 Separated Craft-repair Not-in-family
## 2479 Married-civ-spouse Machine-op-inspct Husband
## 2480 Separated Handlers-cleaners Unmarried
## 2481 Married-civ-spouse Sales Husband
## 2482 Married-civ-spouse Exec-managerial Husband
## 2483 Never-married Adm-clerical Not-in-family
## 2484 Married-civ-spouse Exec-managerial Husband
## 2485 Married-civ-spouse Prof-specialty Husband
## 2486 Married-civ-spouse Craft-repair Husband
## 2487 Married-civ-spouse ? Husband
## 2488 Divorced Adm-clerical Not-in-family
## 2489 Married-civ-spouse Craft-repair Husband
## 2490 Divorced Sales Unmarried
## 2491 Divorced Craft-repair Unmarried
## 2492 Married-civ-spouse ? Husband
## 2493 Never-married Handlers-cleaners Own-child
## 2494 Never-married Craft-repair Own-child
## 2495 Divorced Exec-managerial Not-in-family
## 2496 Married-civ-spouse Transport-moving Husband
## 2497 Never-married ? Own-child
## 2498 Married-civ-spouse Exec-managerial Husband
## 2499 Married-civ-spouse Sales Husband
## 2500 Never-married Protective-serv Own-child
## 2501 Never-married Adm-clerical Not-in-family
## 2502 Married-spouse-absent Exec-managerial Not-in-family
## 2503 Divorced Machine-op-inspct Not-in-family
## 2504 Divorced Craft-repair Unmarried
## 2505 Married-civ-spouse Transport-moving Husband
## 2506 Widowed Craft-repair Not-in-family
## 2507 Never-married ? Own-child
## 2508 Married-civ-spouse Sales Husband
## 2509 Never-married Craft-repair Not-in-family
## 2510 Married-civ-spouse Craft-repair Not-in-family
## 2511 Divorced Protective-serv Not-in-family
## 2512 Never-married Adm-clerical Not-in-family
## 2513 Married-civ-spouse Adm-clerical Husband
## 2514 Married-civ-spouse ? Husband
## 2515 Married-civ-spouse Transport-moving Husband
## 2516 Never-married Handlers-cleaners Other-relative
## 2517 Married-civ-spouse Other-service Wife
## 2518 Married-civ-spouse Exec-managerial Husband
## 2519 Never-married Other-service Own-child
## 2520 Married-civ-spouse Craft-repair Husband
## 2521 Married-civ-spouse Craft-repair Husband
## 2522 Never-married ? Not-in-family
## 2523 Married-civ-spouse Craft-repair Husband
## 2524 Separated Other-service Unmarried
## 2525 Married-civ-spouse Machine-op-inspct Husband
## 2526 Divorced Machine-op-inspct Not-in-family
## 2527 Divorced Prof-specialty Unmarried
## 2528 Never-married Exec-managerial Other-relative
## 2529 Married-civ-spouse Exec-managerial Husband
## 2530 Never-married Exec-managerial Not-in-family
## 2531 Never-married Other-service Not-in-family
## 2532 Never-married Other-service Not-in-family
## 2533 Never-married Protective-serv Own-child
## 2534 Never-married Sales Not-in-family
## 2535 Married-civ-spouse Craft-repair Husband
## 2536 Divorced Adm-clerical Unmarried
## 2537 Never-married Adm-clerical Not-in-family
## 2538 Never-married Sales Not-in-family
## 2539 Married-civ-spouse Machine-op-inspct Husband
## 2540 Separated Exec-managerial Unmarried
## 2541 Widowed Adm-clerical Unmarried
## 2542 Married-civ-spouse Adm-clerical Husband
## 2543 Married-spouse-absent Sales Not-in-family
## 2544 Widowed Machine-op-inspct Unmarried
## 2545 Never-married ? Own-child
## 2546 Divorced Sales Not-in-family
## 2547 Married-civ-spouse Transport-moving Husband
## 2548 Never-married Adm-clerical Own-child
## 2549 Divorced Adm-clerical Not-in-family
## 2550 Married-spouse-absent Prof-specialty Not-in-family
## 2551 Never-married Other-service Own-child
## 2552 Married-civ-spouse Farming-fishing Husband
## 2553 Married-civ-spouse Sales Husband
## 2554 Never-married Adm-clerical Unmarried
## 2555 Married-civ-spouse Exec-managerial Husband
## 2556 Never-married Farming-fishing Own-child
## 2557 Married-civ-spouse Sales Husband
## 2558 Never-married Prof-specialty Not-in-family
## 2559 Married-civ-spouse Prof-specialty Husband
## 2560 Married-civ-spouse Adm-clerical Wife
## 2561 Married-civ-spouse Adm-clerical Wife
## 2562 Never-married Machine-op-inspct Unmarried
## 2563 Divorced Exec-managerial Not-in-family
## 2564 Never-married Adm-clerical Unmarried
## 2565 Never-married Sales Own-child
## 2566 Married-civ-spouse Adm-clerical Husband
## 2567 Married-civ-spouse ? Husband
## 2568 Never-married Prof-specialty Not-in-family
## 2569 Never-married Farming-fishing Own-child
## 2570 Married-civ-spouse Exec-managerial Husband
## 2571 Married-civ-spouse ? Husband
## 2572 Never-married ? Not-in-family
## 2573 Separated Craft-repair Not-in-family
## 2574 Divorced Machine-op-inspct Not-in-family
## 2575 Married-civ-spouse Prof-specialty Husband
## 2576 Never-married Sales Unmarried
## 2577 Married-civ-spouse Sales Husband
## 2578 Divorced Adm-clerical Unmarried
## 2579 Married-civ-spouse ? Husband
## 2580 Married-civ-spouse Transport-moving Husband
## 2581 Married-civ-spouse Transport-moving Husband
## 2582 Married-spouse-absent Machine-op-inspct Unmarried
## 2583 Married-civ-spouse Craft-repair Husband
## 2584 Married-civ-spouse Exec-managerial Husband
## 2585 Divorced Craft-repair Unmarried
## 2586 Divorced Adm-clerical Not-in-family
## 2587 Never-married ? Not-in-family
## 2588 Married-civ-spouse Prof-specialty Husband
## 2589 Married-civ-spouse Exec-managerial Husband
## 2590 Married-civ-spouse Craft-repair Husband
## 2591 Divorced Adm-clerical Other-relative
## 2592 Married-spouse-absent Craft-repair Not-in-family
## 2593 Never-married Machine-op-inspct Not-in-family
## 2594 Never-married Exec-managerial Not-in-family
## 2595 Widowed ? Unmarried
## 2596 Divorced Handlers-cleaners Unmarried
## 2597 Never-married Craft-repair Own-child
## 2598 Divorced Prof-specialty Not-in-family
## 2599 Married-civ-spouse Transport-moving Husband
## 2600 Married-civ-spouse Adm-clerical Husband
## 2601 Never-married Adm-clerical Not-in-family
## 2602 Married-civ-spouse Transport-moving Husband
## 2603 Divorced Tech-support Unmarried
## 2604 Divorced Exec-managerial Not-in-family
## 2605 Never-married Handlers-cleaners Own-child
## 2606 Married-civ-spouse Other-service Husband
## 2607 Never-married ? Own-child
## 2608 Married-civ-spouse Exec-managerial Husband
## 2609 Never-married Other-service Not-in-family
## 2610 Married-civ-spouse Exec-managerial Husband
## 2611 Never-married Sales Other-relative
## 2612 Married-civ-spouse Transport-moving Husband
## 2613 Married-civ-spouse Sales Husband
## 2614 Never-married Machine-op-inspct Other-relative
## 2615 Married-civ-spouse Exec-managerial Husband
## 2616 Widowed Adm-clerical Not-in-family
## 2617 Never-married Transport-moving Not-in-family
## 2618 Never-married Adm-clerical Not-in-family
## 2619 Married-civ-spouse Sales Husband
## 2620 Married-civ-spouse Handlers-cleaners Husband
## 2621 Married-civ-spouse Transport-moving Husband
## 2622 Never-married Sales Not-in-family
## 2623 Married-civ-spouse Craft-repair Husband
## 2624 Never-married Craft-repair Not-in-family
## 2625 Married-civ-spouse Craft-repair Husband
## 2626 Married-civ-spouse Craft-repair Husband
## 2627 Married-civ-spouse Exec-managerial Husband
## 2628 Divorced Craft-repair Not-in-family
## 2629 Never-married Handlers-cleaners Other-relative
## 2630 Married-civ-spouse Craft-repair Husband
## 2631 Never-married Tech-support Not-in-family
## 2632 Married-civ-spouse Tech-support Husband
## 2633 Married-civ-spouse ? Wife
## 2634 Married-civ-spouse Sales Husband
## 2635 Never-married ? Not-in-family
## 2636 Married-civ-spouse Prof-specialty Husband
## 2637 Never-married Adm-clerical Not-in-family
## 2638 Married-civ-spouse Exec-managerial Wife
## 2639 Married-civ-spouse ? Husband
## 2640 Never-married Machine-op-inspct Not-in-family
## 2641 Married-civ-spouse Craft-repair Husband
## 2642 Divorced Prof-specialty Not-in-family
## 2643 Never-married Adm-clerical Own-child
## 2644 Married-civ-spouse Craft-repair Husband
## 2645 Never-married Other-service Not-in-family
## 2646 Married-civ-spouse Craft-repair Husband
## 2647 Widowed Other-service Not-in-family
## 2648 Married-civ-spouse Sales Husband
## 2649 Never-married Adm-clerical Not-in-family
## 2650 Married-civ-spouse Adm-clerical Wife
## 2651 Never-married Adm-clerical Own-child
## 2652 Married-spouse-absent Exec-managerial Not-in-family
## 2653 Married-civ-spouse Prof-specialty Husband
## 2654 Never-married Adm-clerical Not-in-family
## 2655 Married-civ-spouse Exec-managerial Husband
## 2656 Never-married Adm-clerical Other-relative
## 2657 Never-married Sales Own-child
## 2658 Widowed Adm-clerical Unmarried
## 2659 Married-civ-spouse Transport-moving Husband
## 2660 Married-civ-spouse Prof-specialty Husband
## 2661 Married-civ-spouse Craft-repair Husband
## 2662 Married-civ-spouse Craft-repair Husband
## 2663 Separated Machine-op-inspct Unmarried
## 2664 Divorced Prof-specialty Unmarried
## 2665 Divorced Exec-managerial Not-in-family
## 2666 Married-civ-spouse Sales Husband
## 2667 Never-married Handlers-cleaners Own-child
## 2668 Married-civ-spouse Other-service Husband
## 2669 Separated Other-service Own-child
## 2670 Widowed Exec-managerial Not-in-family
## 2671 Married-civ-spouse Handlers-cleaners Husband
## 2672 Never-married Sales Own-child
## 2673 Never-married Prof-specialty Not-in-family
## 2674 Never-married ? Own-child
## 2675 Never-married Other-service Not-in-family
## 2676 Married-civ-spouse Craft-repair Husband
## 2677 Married-civ-spouse ? Husband
## 2678 Never-married Adm-clerical Unmarried
## 2679 Never-married Farming-fishing Not-in-family
## 2680 Widowed Tech-support Unmarried
## 2681 Married-civ-spouse Prof-specialty Husband
## 2682 Married-civ-spouse Prof-specialty Husband
## 2683 Married-spouse-absent Prof-specialty Not-in-family
## 2684 Married-civ-spouse Tech-support Husband
## 2685 Married-civ-spouse Exec-managerial Husband
## 2686 Never-married Adm-clerical Unmarried
## 2687 Divorced Prof-specialty Not-in-family
## 2688 Married-civ-spouse Prof-specialty Husband
## 2689 Married-civ-spouse Transport-moving Husband
## 2690 Never-married ? Other-relative
## 2691 Married-civ-spouse Craft-repair Husband
## 2692 Married-civ-spouse Adm-clerical Husband
## 2693 Married-civ-spouse Other-service Husband
## 2694 Never-married Exec-managerial Not-in-family
## 2695 Married-civ-spouse Craft-repair Husband
## 2696 Married-civ-spouse Transport-moving Husband
## 2697 Divorced Other-service Own-child
## 2698 Married-civ-spouse Sales Husband
## 2699 Divorced Farming-fishing Not-in-family
## 2700 Divorced Prof-specialty Not-in-family
## 2701 Divorced Sales Own-child
## 2702 Never-married Adm-clerical Not-in-family
## 2703 Married-civ-spouse Sales Husband
## 2704 Never-married Other-service Own-child
## 2705 Never-married Other-service Own-child
## 2706 Divorced Tech-support Unmarried
## 2707 Married-civ-spouse Handlers-cleaners Other-relative
## 2708 Married-civ-spouse Prof-specialty Husband
## 2709 Divorced Sales Not-in-family
## 2710 Never-married Adm-clerical Own-child
## 2711 Married-civ-spouse Tech-support Husband
## 2712 Never-married Machine-op-inspct Other-relative
## 2713 Never-married Other-service Not-in-family
## 2714 Divorced Exec-managerial Not-in-family
## 2715 Never-married Craft-repair Own-child
## 2716 Widowed Adm-clerical Not-in-family
## 2717 Married-civ-spouse Prof-specialty Wife
## 2718 Divorced Sales Unmarried
## 2719 Divorced Exec-managerial Not-in-family
## 2720 Married-civ-spouse Sales Husband
## 2721 Never-married Adm-clerical Unmarried
## 2722 Married-civ-spouse Sales Husband
## 2723 Never-married Handlers-cleaners Own-child
## 2724 Never-married Exec-managerial Own-child
## 2725 Divorced Prof-specialty Unmarried
## 2726 Never-married Prof-specialty Not-in-family
## 2727 Never-married Prof-specialty Not-in-family
## 2728 Never-married Adm-clerical Not-in-family
## 2729 Never-married Other-service Own-child
## 2730 Never-married Other-service Own-child
## 2731 Married-civ-spouse Priv-house-serv Other-relative
## 2732 Married-civ-spouse Prof-specialty Husband
## 2733 Never-married Other-service Not-in-family
## 2734 Divorced Exec-managerial Unmarried
## 2735 Married-civ-spouse Craft-repair Husband
## 2736 Never-married Prof-specialty Not-in-family
## 2737 Married-civ-spouse Protective-serv Husband
## 2738 Divorced Sales Other-relative
## 2739 Married-civ-spouse Adm-clerical Wife
## 2740 Never-married Exec-managerial Not-in-family
## 2741 Married-civ-spouse Exec-managerial Husband
## 2742 Married-civ-spouse Other-service Husband
## 2743 Divorced Other-service Unmarried
## 2744 Married-civ-spouse Adm-clerical Husband
## 2745 Married-civ-spouse Sales Husband
## 2746 Married-civ-spouse Machine-op-inspct Husband
## 2747 Divorced Exec-managerial Other-relative
## 2748 Married-civ-spouse Machine-op-inspct Husband
## 2749 Married-civ-spouse Transport-moving Husband
## 2750 Never-married Machine-op-inspct Own-child
## 2751 Divorced Sales Not-in-family
## 2752 Divorced ? Not-in-family
## 2753 Married-civ-spouse Exec-managerial Husband
## 2754 Married-civ-spouse Sales Husband
## 2755 Married-civ-spouse Farming-fishing Husband
## 2756 Never-married Other-service Own-child
## 2757 Married-civ-spouse Exec-managerial Husband
## 2758 Never-married Handlers-cleaners Own-child
## 2759 Separated Exec-managerial Not-in-family
## 2760 Married-civ-spouse Exec-managerial Husband
## 2761 Married-civ-spouse ? Husband
## 2762 Divorced ? Own-child
## 2763 Married-civ-spouse Craft-repair Husband
## 2764 Never-married Adm-clerical Not-in-family
## 2765 Never-married Other-service Own-child
## 2766 Divorced Adm-clerical Unmarried
## 2767 Never-married Craft-repair Own-child
## 2768 Married-civ-spouse Transport-moving Husband
## 2769 Divorced Sales Not-in-family
## 2770 Never-married Protective-serv Own-child
## 2771 Divorced Adm-clerical Unmarried
## 2772 Divorced Exec-managerial Not-in-family
## 2773 Never-married Other-service Own-child
## 2774 Never-married Other-service Not-in-family
## 2775 Married-civ-spouse Tech-support Husband
## 2776 Married-civ-spouse Prof-specialty Husband
## 2777 Never-married Sales Own-child
## 2778 Divorced Transport-moving Not-in-family
## 2779 Separated Adm-clerical Not-in-family
## 2780 Divorced Other-service Not-in-family
## 2781 Married-civ-spouse Prof-specialty Husband
## 2782 Married-civ-spouse Sales Husband
## 2783 Never-married Sales Own-child
## 2784 Divorced Protective-serv Not-in-family
## 2785 Never-married Handlers-cleaners Not-in-family
## 2786 Widowed Adm-clerical Unmarried
## 2787 Married-civ-spouse Sales Husband
## 2788 Never-married Sales Not-in-family
## 2789 Never-married Prof-specialty Not-in-family
## 2790 Divorced Machine-op-inspct Not-in-family
## 2791 Widowed Adm-clerical Not-in-family
## 2792 Divorced Adm-clerical Not-in-family
## 2793 Divorced Craft-repair Not-in-family
## 2794 Widowed Sales Not-in-family
## 2795 Married-civ-spouse Prof-specialty Husband
## 2796 Divorced Machine-op-inspct Unmarried
## 2797 Married-civ-spouse Prof-specialty Husband
## 2798 Never-married Adm-clerical Not-in-family
## 2799 Never-married Other-service Unmarried
## 2800 Married-civ-spouse Prof-specialty Husband
## 2801 Married-civ-spouse Prof-specialty Husband
## 2802 Never-married Other-service Own-child
## 2803 Married-civ-spouse Prof-specialty Husband
## 2804 Never-married Prof-specialty Own-child
## 2805 Married-civ-spouse Adm-clerical Wife
## 2806 Never-married Sales Own-child
## 2807 Separated Prof-specialty Not-in-family
## 2808 Widowed Other-service Unmarried
## 2809 Divorced Other-service Unmarried
## 2810 Never-married Adm-clerical Not-in-family
## 2811 Married-civ-spouse Farming-fishing Husband
## 2812 Widowed Other-service Unmarried
## 2813 Married-civ-spouse Sales Wife
## 2814 Never-married Adm-clerical Not-in-family
## 2815 Never-married Sales Own-child
## 2816 Married-civ-spouse Transport-moving Husband
## 2817 Married-civ-spouse Craft-repair Husband
## 2818 Married-civ-spouse Machine-op-inspct Husband
## 2819 Never-married Prof-specialty Not-in-family
## 2820 Never-married Other-service Not-in-family
## 2821 Married-civ-spouse Exec-managerial Husband
## 2822 Never-married Machine-op-inspct Own-child
## 2823 Divorced Craft-repair Own-child
## 2824 Never-married Prof-specialty Own-child
## 2825 Married-civ-spouse Prof-specialty Husband
## 2826 Married-civ-spouse Exec-managerial Wife
## 2827 Married-civ-spouse Craft-repair Husband
## 2828 Never-married Machine-op-inspct Not-in-family
## 2829 Married-civ-spouse Exec-managerial Husband
## 2830 Married-civ-spouse Prof-specialty Husband
## 2831 Married-civ-spouse Exec-managerial Husband
## 2832 Married-civ-spouse Exec-managerial Husband
## 2833 Married-civ-spouse Sales Husband
## 2834 Married-civ-spouse Prof-specialty Husband
## 2835 Never-married Adm-clerical Not-in-family
## 2836 Never-married Sales Own-child
## 2837 Divorced Craft-repair Not-in-family
## 2838 Married-civ-spouse Other-service Wife
## 2839 Divorced Sales Not-in-family
## 2840 Married-civ-spouse Craft-repair Husband
## 2841 Never-married Prof-specialty Not-in-family
## 2842 Divorced Prof-specialty Unmarried
## 2843 Married-civ-spouse Adm-clerical Husband
## 2844 Married-civ-spouse Other-service Husband
## 2845 Married-civ-spouse Sales Husband
## 2846 Married-civ-spouse Sales Husband
## 2847 Married-civ-spouse Prof-specialty Husband
## 2848 Never-married ? Unmarried
## 2849 Married-civ-spouse Exec-managerial Husband
## 2850 Never-married Other-service Own-child
## 2851 Married-civ-spouse Farming-fishing Husband
## 2852 Never-married Prof-specialty Own-child
## 2853 Married-civ-spouse Sales Wife
## 2854 Separated Sales Other-relative
## 2855 Never-married Prof-specialty Not-in-family
## 2856 Never-married Other-service Unmarried
## 2857 Married-civ-spouse ? Husband
## 2858 Divorced ? Unmarried
## 2859 Never-married ? Own-child
## 2860 Never-married Prof-specialty Not-in-family
## 2861 Married-civ-spouse Sales Husband
## 2862 Never-married Machine-op-inspct Not-in-family
## 2863 Never-married Handlers-cleaners Unmarried
## 2864 Married-civ-spouse Prof-specialty Husband
## 2865 Married-civ-spouse Sales Wife
## 2866 Divorced Machine-op-inspct Unmarried
## 2867 Married-civ-spouse Handlers-cleaners Husband
## 2868 Divorced Other-service Unmarried
## 2869 Never-married Prof-specialty Own-child
## 2870 Never-married Handlers-cleaners Own-child
## 2871 Married-civ-spouse Craft-repair Husband
## 2872 Married-civ-spouse Protective-serv Husband
## 2873 Married-civ-spouse Craft-repair Husband
## 2874 Divorced Prof-specialty Unmarried
## 2875 Married-civ-spouse Adm-clerical Wife
## 2876 Never-married Protective-serv Other-relative
## 2877 Never-married Craft-repair Not-in-family
## 2878 Married-civ-spouse Craft-repair Husband
## 2879 Married-civ-spouse Handlers-cleaners Husband
## 2880 Never-married Other-service Other-relative
## 2881 Never-married Handlers-cleaners Other-relative
## 2882 Separated Adm-clerical Not-in-family
## 2883 Married-civ-spouse Exec-managerial Husband
## 2884 Divorced Exec-managerial Not-in-family
## 2885 Widowed Craft-repair Unmarried
## 2886 Widowed ? Unmarried
## 2887 Married-civ-spouse Craft-repair Husband
## 2888 Married-AF-spouse Sales Wife
## 2889 Divorced Prof-specialty Unmarried
## 2890 Married-civ-spouse Adm-clerical Husband
## 2891 Married-spouse-absent Other-service Own-child
## 2892 Separated Adm-clerical Own-child
## 2893 Married-civ-spouse Exec-managerial Husband
## 2894 Never-married Prof-specialty Not-in-family
## 2895 Married-civ-spouse Exec-managerial Husband
## 2896 Separated Adm-clerical Unmarried
## 2897 Married-civ-spouse Machine-op-inspct Husband
## 2898 Separated Other-service Not-in-family
## 2899 Never-married Prof-specialty Own-child
## 2900 Divorced Tech-support Unmarried
## 2901 Married-civ-spouse Transport-moving Husband
## 2902 Married-civ-spouse Exec-managerial Husband
## 2903 Married-civ-spouse Handlers-cleaners Husband
## 2904 Married-civ-spouse Sales Husband
## 2905 Married-civ-spouse Other-service Husband
## 2906 Divorced Other-service Unmarried
## 2907 Widowed Priv-house-serv Not-in-family
## 2908 Divorced Adm-clerical Own-child
## 2909 Never-married Other-service Own-child
## 2910 Married-civ-spouse Exec-managerial Husband
## 2911 Never-married Handlers-cleaners Own-child
## 2912 Never-married Sales Own-child
## 2913 Separated Adm-clerical Unmarried
## 2914 Never-married Adm-clerical Not-in-family
## 2915 Never-married Machine-op-inspct Unmarried
## 2916 Married-civ-spouse Sales Wife
## 2917 Divorced Sales Unmarried
## 2918 Married-civ-spouse Tech-support Husband
## 2919 Married-civ-spouse Exec-managerial Husband
## 2920 Married-civ-spouse Sales Husband
## 2921 Married-civ-spouse Farming-fishing Husband
## 2922 Never-married Craft-repair Other-relative
## 2923 Divorced Craft-repair Unmarried
## 2924 Married-civ-spouse Exec-managerial Husband
## 2925 Never-married Craft-repair Not-in-family
## 2926 Married-civ-spouse Sales Wife
## 2927 Married-spouse-absent Craft-repair Not-in-family
## 2928 Divorced Machine-op-inspct Own-child
## 2929 Never-married Adm-clerical Own-child
## 2930 Married-civ-spouse Transport-moving Husband
## 2931 Never-married ? Own-child
## 2932 Never-married Craft-repair Not-in-family
## 2933 Never-married ? Unmarried
## 2934 Never-married Prof-specialty Own-child
## 2935 Never-married Machine-op-inspct Own-child
## 2936 Married-civ-spouse Adm-clerical Husband
## 2937 Never-married Other-service Own-child
## 2938 Never-married Other-service Own-child
## 2939 Married-civ-spouse Machine-op-inspct Wife
## 2940 Married-civ-spouse Farming-fishing Husband
## 2941 Never-married Sales Unmarried
## 2942 Married-civ-spouse Exec-managerial Husband
## 2943 Married-civ-spouse Craft-repair Husband
## 2944 Never-married Tech-support Own-child
## 2945 Never-married Other-service Own-child
## 2946 Never-married Craft-repair Own-child
## 2947 Never-married Other-service Other-relative
## 2948 Never-married ? Own-child
## 2949 Married-civ-spouse Prof-specialty Husband
## 2950 Never-married Craft-repair Own-child
## 2951 Married-civ-spouse Prof-specialty Husband
## 2952 Widowed Exec-managerial Unmarried
## 2953 Married-civ-spouse ? Wife
## 2954 Married-civ-spouse Protective-serv Husband
## 2955 Never-married Machine-op-inspct Unmarried
## 2956 Married-civ-spouse Prof-specialty Husband
## 2957 Married-civ-spouse Exec-managerial Husband
## 2958 Separated Prof-specialty Unmarried
## 2959 Divorced Exec-managerial Not-in-family
## 2960 Married-civ-spouse Farming-fishing Husband
## 2961 Never-married Prof-specialty Not-in-family
## 2962 Widowed ? Not-in-family
## 2963 Married-civ-spouse Prof-specialty Husband
## 2964 Never-married Farming-fishing Own-child
## 2965 Never-married Craft-repair Own-child
## 2966 Married-civ-spouse Exec-managerial Husband
## 2967 Never-married Craft-repair Not-in-family
## 2968 Widowed Adm-clerical Not-in-family
## 2969 Married-civ-spouse Sales Husband
## 2970 Never-married Sales Not-in-family
## 2971 Never-married Farming-fishing Not-in-family
## 2972 Married-civ-spouse Prof-specialty Husband
## 2973 Divorced Handlers-cleaners Own-child
## 2974 Married-civ-spouse Sales Husband
## 2975 Married-civ-spouse Craft-repair Husband
## 2976 Never-married Adm-clerical Unmarried
## 2977 Divorced Craft-repair Not-in-family
## 2978 Married-civ-spouse Sales Husband
## 2979 Divorced Machine-op-inspct Unmarried
## 2980 Divorced Adm-clerical Unmarried
## 2981 Never-married Exec-managerial Not-in-family
## 2982 Never-married Handlers-cleaners Other-relative
## 2983 Married-civ-spouse Exec-managerial Husband
## 2984 Married-civ-spouse Farming-fishing Husband
## 2985 Divorced Adm-clerical Unmarried
## 2986 Never-married Other-service Own-child
## 2987 Married-civ-spouse Craft-repair Husband
## 2988 Never-married Handlers-cleaners Not-in-family
## 2989 Never-married Craft-repair Own-child
## 2990 Married-civ-spouse Exec-managerial Husband
## 2991 Never-married Prof-specialty Own-child
## 2992 Divorced Sales Not-in-family
## 2993 Never-married Exec-managerial Unmarried
## 2994 Married-civ-spouse Farming-fishing Wife
## 2995 Married-civ-spouse Sales Husband
## 2996 Married-civ-spouse Transport-moving Husband
## 2997 Never-married Exec-managerial Not-in-family
## 2998 Divorced Machine-op-inspct Other-relative
## 2999 Married-civ-spouse Handlers-cleaners Husband
## 3000 Married-civ-spouse ? Husband
## 3001 Married-civ-spouse Machine-op-inspct Husband
## 3002 Married-civ-spouse Craft-repair Husband
## 3003 Separated Other-service Unmarried
## 3004 Divorced Sales Not-in-family
## 3005 Never-married Adm-clerical Not-in-family
## 3006 Never-married ? Own-child
## 3007 Divorced Tech-support Unmarried
## 3008 Divorced Tech-support Other-relative
## 3009 Never-married Craft-repair Other-relative
## 3010 Married-civ-spouse Craft-repair Husband
## 3011 Married-civ-spouse Sales Wife
## 3012 Separated Exec-managerial Not-in-family
## 3013 Married-civ-spouse Prof-specialty Husband
## 3014 Never-married Prof-specialty Not-in-family
## 3015 Married-civ-spouse Handlers-cleaners Husband
## 3016 Never-married Exec-managerial Not-in-family
## 3017 Married-civ-spouse Adm-clerical Husband
## 3018 Married-civ-spouse Prof-specialty Husband
## 3019 Never-married Farming-fishing Own-child
## 3020 Never-married Exec-managerial Not-in-family
## 3021 Married-civ-spouse Prof-specialty Husband
## 3022 Married-civ-spouse Craft-repair Husband
## 3023 Married-civ-spouse Craft-repair Husband
## 3024 Never-married Craft-repair Not-in-family
## 3025 Never-married Sales Own-child
## 3026 Married-civ-spouse Craft-repair Husband
## 3027 Married-civ-spouse Machine-op-inspct Husband
## 3028 Married-civ-spouse Prof-specialty Husband
## 3029 Never-married Other-service Not-in-family
## 3030 Married-civ-spouse Exec-managerial Husband
## 3031 Widowed Machine-op-inspct Unmarried
## 3032 Separated Machine-op-inspct Unmarried
## 3033 Married-civ-spouse Craft-repair Husband
## 3034 Divorced ? Not-in-family
## 3035 Married-AF-spouse Adm-clerical Husband
## 3036 Married-civ-spouse Sales Husband
## 3037 Widowed Prof-specialty Unmarried
## 3038 Divorced Adm-clerical Own-child
## 3039 Married-civ-spouse Craft-repair Husband
## 3040 Married-civ-spouse Sales Husband
## 3041 Never-married Exec-managerial Not-in-family
## 3042 Never-married Prof-specialty Not-in-family
## 3043 Married-civ-spouse ? Husband
## 3044 Never-married Adm-clerical Other-relative
## 3045 Never-married Handlers-cleaners Other-relative
## 3046 Divorced Transport-moving Not-in-family
## 3047 Divorced Adm-clerical Not-in-family
## 3048 Never-married Sales Not-in-family
## 3049 Married-civ-spouse Farming-fishing Husband
## 3050 Married-civ-spouse Exec-managerial Husband
## 3051 Married-civ-spouse Transport-moving Husband
## 3052 Divorced Sales Unmarried
## 3053 Married-civ-spouse Transport-moving Husband
## 3054 Married-civ-spouse Handlers-cleaners Husband
## 3055 Married-civ-spouse Exec-managerial Husband
## 3056 Married-civ-spouse Machine-op-inspct Husband
## 3057 Married-civ-spouse Sales Husband
## 3058 Married-civ-spouse Exec-managerial Husband
## 3059 Never-married Adm-clerical Own-child
## 3060 Married-civ-spouse Transport-moving Husband
## 3061 Never-married Other-service Own-child
## 3062 Divorced Prof-specialty Not-in-family
## 3063 Married-civ-spouse Craft-repair Husband
## 3064 Divorced Handlers-cleaners Not-in-family
## 3065 Married-spouse-absent Prof-specialty Not-in-family
## 3066 Widowed ? Not-in-family
## 3067 Never-married Transport-moving Own-child
## 3068 Widowed Adm-clerical Not-in-family
## 3069 Divorced Exec-managerial Not-in-family
## 3070 Divorced Other-service Unmarried
## 3071 Never-married Exec-managerial Own-child
## 3072 Married-civ-spouse Exec-managerial Husband
## 3073 Never-married ? Own-child
## 3074 Never-married Craft-repair Own-child
## 3075 Never-married Sales Own-child
## 3076 Never-married Sales Own-child
## 3077 Married-civ-spouse Sales Husband
## 3078 Married-civ-spouse Exec-managerial Husband
## 3079 Never-married Other-service Own-child
## 3080 Married-civ-spouse Exec-managerial Husband
## 3081 Married-civ-spouse Prof-specialty Husband
## 3082 Divorced Machine-op-inspct Unmarried
## 3083 Widowed Exec-managerial Unmarried
## 3084 Never-married Craft-repair Own-child
## 3085 Never-married Handlers-cleaners Own-child
## 3086 Never-married Farming-fishing Own-child
## 3087 Divorced Machine-op-inspct Unmarried
## 3088 Divorced Adm-clerical Unmarried
## 3089 Never-married ? Own-child
## 3090 Married-civ-spouse Sales Husband
## 3091 Separated Adm-clerical Not-in-family
## 3092 Married-civ-spouse Tech-support Husband
## 3093 Married-civ-spouse Farming-fishing Husband
## 3094 Married-civ-spouse Exec-managerial Husband
## 3095 Married-civ-spouse Prof-specialty Wife
## 3096 Married-civ-spouse Exec-managerial Husband
## 3097 Never-married ? Unmarried
## 3098 Never-married Prof-specialty Not-in-family
## 3099 Divorced Prof-specialty Unmarried
## 3100 Never-married Sales Own-child
## 3101 Married-civ-spouse Machine-op-inspct Husband
## 3102 Married-civ-spouse Farming-fishing Husband
## 3103 Divorced Machine-op-inspct Own-child
## 3104 Never-married Other-service Own-child
## 3105 Married-civ-spouse Sales Husband
## 3106 Married-civ-spouse Prof-specialty Husband
## 3107 Married-civ-spouse Exec-managerial Husband
## 3108 Married-civ-spouse Prof-specialty Husband
## 3109 Married-civ-spouse Exec-managerial Own-child
## 3110 Never-married Sales Own-child
## 3111 Never-married Prof-specialty Not-in-family
## 3112 Married-civ-spouse Prof-specialty Husband
## 3113 Never-married Adm-clerical Own-child
## 3114 Married-civ-spouse Exec-managerial Husband
## 3115 Never-married Other-service Own-child
## 3116 Married-civ-spouse Tech-support Husband
## 3117 Married-civ-spouse Sales Husband
## 3118 Never-married Farming-fishing Not-in-family
## 3119 Never-married Farming-fishing Not-in-family
## 3120 Married-civ-spouse ? Husband
## 3121 Divorced Adm-clerical Unmarried
## 3122 Never-married Craft-repair Own-child
## 3123 Married-civ-spouse Adm-clerical Wife
## 3124 Divorced Adm-clerical Unmarried
## 3125 Never-married Adm-clerical Own-child
## 3126 Married-civ-spouse Exec-managerial Husband
## 3127 Married-civ-spouse Adm-clerical Husband
## 3128 Never-married Exec-managerial Own-child
## 3129 Married-civ-spouse Machine-op-inspct Husband
## 3130 Separated Prof-specialty Not-in-family
## 3131 Divorced Other-service Unmarried
## 3132 Never-married ? Own-child
## 3133 Married-civ-spouse Transport-moving Husband
## 3134 Never-married Craft-repair Own-child
## 3135 Married-civ-spouse Prof-specialty Husband
## 3136 Married-civ-spouse Transport-moving Husband
## 3137 Never-married Farming-fishing Not-in-family
## 3138 Married-civ-spouse Sales Husband
## 3139 Divorced Adm-clerical Unmarried
## 3140 Never-married Adm-clerical Own-child
## 3141 Married-civ-spouse Craft-repair Husband
## 3142 Married-civ-spouse Craft-repair Husband
## 3143 Married-civ-spouse Craft-repair Husband
## 3144 Married-civ-spouse Exec-managerial Husband
## 3145 Married-civ-spouse Exec-managerial Husband
## 3146 Married-civ-spouse Sales Husband
## 3147 Divorced ? Not-in-family
## 3148 Never-married Prof-specialty Not-in-family
## 3149 Married-civ-spouse Exec-managerial Husband
## 3150 Married-civ-spouse Exec-managerial Husband
## 3151 Married-civ-spouse Handlers-cleaners Husband
## 3152 Never-married Prof-specialty Not-in-family
## 3153 Married-civ-spouse Exec-managerial Husband
## 3154 Married-civ-spouse Prof-specialty Husband
## 3155 Married-civ-spouse Sales Husband
## 3156 Married-civ-spouse Sales Husband
## 3157 Never-married Prof-specialty Own-child
## 3158 Married-civ-spouse Other-service Husband
## 3159 Widowed Craft-repair Not-in-family
## 3160 Married-civ-spouse Exec-managerial Husband
## 3161 Divorced Prof-specialty Unmarried
## 3162 Never-married Craft-repair Own-child
## 3163 Never-married Machine-op-inspct Not-in-family
## 3164 Married-civ-spouse Exec-managerial Wife
## 3165 Married-civ-spouse Adm-clerical Husband
## 3166 Married-civ-spouse Exec-managerial Wife
## 3167 Married-civ-spouse Craft-repair Husband
## 3168 Married-civ-spouse Prof-specialty Husband
## 3169 Married-civ-spouse Exec-managerial Husband
## 3170 Married-civ-spouse Transport-moving Husband
## 3171 Never-married Adm-clerical Own-child
## 3172 Married-civ-spouse Sales Husband
## 3173 Never-married Prof-specialty Not-in-family
## 3174 Married-civ-spouse Handlers-cleaners Wife
## 3175 Married-civ-spouse Exec-managerial Husband
## 3176 Divorced Prof-specialty Not-in-family
## 3177 Married-civ-spouse Adm-clerical Wife
## 3178 Never-married Handlers-cleaners Own-child
## 3179 Married-spouse-absent Other-service Unmarried
## 3180 Never-married Other-service Not-in-family
## 3181 Married-civ-spouse Protective-serv Husband
## 3182 Never-married Craft-repair Own-child
## 3183 Never-married Machine-op-inspct Unmarried
## 3184 Widowed Sales Not-in-family
## 3185 Never-married Prof-specialty Unmarried
## 3186 Married-civ-spouse Sales Husband
## 3187 Married-civ-spouse Sales Husband
## 3188 Married-spouse-absent Other-service Not-in-family
## 3189 Separated Sales Unmarried
## 3190 Married-civ-spouse Machine-op-inspct Husband
## 3191 Married-civ-spouse Craft-repair Husband
## 3192 Separated Machine-op-inspct Not-in-family
## 3193 Never-married Other-service Not-in-family
## 3194 Divorced Machine-op-inspct Unmarried
## 3195 Divorced Other-service Own-child
## 3196 Married-spouse-absent Sales Unmarried
## 3197 Married-spouse-absent Farming-fishing Other-relative
## 3198 Married-civ-spouse Sales Husband
## 3199 Married-civ-spouse Machine-op-inspct Wife
## 3200 Married-civ-spouse Sales Husband
## 3201 Never-married Exec-managerial Own-child
## 3202 Never-married Machine-op-inspct Not-in-family
## 3203 Never-married Sales Own-child
## 3204 Married-civ-spouse Sales Wife
## 3205 Widowed Sales Unmarried
## 3206 Never-married Craft-repair Unmarried
## 3207 Married-civ-spouse Exec-managerial Husband
## 3208 Never-married ? Own-child
## 3209 Widowed Machine-op-inspct Not-in-family
## 3210 Widowed Prof-specialty Not-in-family
## 3211 Married-civ-spouse Handlers-cleaners Husband
## 3212 Widowed ? Not-in-family
## 3213 Married-civ-spouse Sales Husband
## 3214 Widowed Other-service Not-in-family
## 3215 Never-married Adm-clerical Own-child
## 3216 Married-civ-spouse Craft-repair Husband
## 3217 Married-civ-spouse Farming-fishing Husband
## 3218 Married-civ-spouse Craft-repair Husband
## 3219 Married-civ-spouse Sales Husband
## 3220 Divorced Adm-clerical Unmarried
## 3221 Divorced Exec-managerial Not-in-family
## 3222 Married-civ-spouse Other-service Husband
## 3223 Never-married Craft-repair Unmarried
## 3224 Divorced Adm-clerical Not-in-family
## 3225 Married-civ-spouse Sales Wife
## 3226 Married-civ-spouse Farming-fishing Husband
## 3227 Married-civ-spouse Transport-moving Husband
## 3228 Married-civ-spouse Sales Husband
## 3229 Never-married ? Own-child
## 3230 Divorced Machine-op-inspct Not-in-family
## 3231 Married-civ-spouse Exec-managerial Wife
## 3232 Married-civ-spouse ? Husband
## 3233 Separated Exec-managerial Not-in-family
## 3234 Divorced Machine-op-inspct Not-in-family
## 3235 Never-married Other-service Unmarried
## 3236 Married-civ-spouse Craft-repair Husband
## 3237 Married-spouse-absent Craft-repair Not-in-family
## 3238 Never-married Prof-specialty Own-child
## 3239 Married-civ-spouse Exec-managerial Husband
## 3240 Never-married ? Own-child
## 3241 Never-married Other-service Unmarried
## 3242 Separated Other-service Not-in-family
## 3243 Never-married Handlers-cleaners Not-in-family
## 3244 Never-married Machine-op-inspct Other-relative
## 3245 Separated Prof-specialty Unmarried
## 3246 Married-civ-spouse Sales Husband
## 3247 Never-married Sales Not-in-family
## 3248 Married-civ-spouse Adm-clerical Wife
## 3249 Married-civ-spouse Sales Husband
## 3250 Married-civ-spouse Exec-managerial Husband
## 3251 Married-civ-spouse Adm-clerical Husband
## 3252 Never-married Sales Own-child
## 3253 Never-married Prof-specialty Not-in-family
## 3254 Never-married Handlers-cleaners Unmarried
## 3255 Married-civ-spouse Craft-repair Husband
## 3256 Divorced ? Not-in-family
## 3257 Married-civ-spouse Prof-specialty Husband
## 3258 Divorced Craft-repair Own-child
## 3259 Never-married Handlers-cleaners Own-child
## 3260 Divorced Prof-specialty Unmarried
## 3261 Married-civ-spouse Prof-specialty Husband
## 3262 Never-married Craft-repair Not-in-family
## 3263 Married-civ-spouse Transport-moving Husband
## 3264 Never-married Adm-clerical Not-in-family
## 3265 Separated Exec-managerial Not-in-family
## 3266 Married-civ-spouse Exec-managerial Husband
## 3267 Married-civ-spouse Tech-support Husband
## 3268 Married-civ-spouse Prof-specialty Husband
## 3269 Never-married Prof-specialty Not-in-family
## 3270 Married-civ-spouse ? Wife
## 3271 Widowed Other-service Not-in-family
## 3272 Married-civ-spouse Exec-managerial Husband
## 3273 Never-married Craft-repair Not-in-family
## 3274 Married-civ-spouse Craft-repair Husband
## 3275 Married-civ-spouse Prof-specialty Husband
## 3276 Divorced Adm-clerical Unmarried
## 3277 Never-married Prof-specialty Not-in-family
## 3278 Married-civ-spouse Craft-repair Husband
## 3279 Married-civ-spouse Craft-repair Husband
## 3280 Divorced Exec-managerial Unmarried
## 3281 Never-married Transport-moving Not-in-family
## 3282 Never-married Prof-specialty Not-in-family
## 3283 Never-married Farming-fishing Other-relative
## 3284 Separated Other-service Other-relative
## 3285 Married-civ-spouse Adm-clerical Husband
## 3286 Never-married Other-service Own-child
## 3287 Never-married Other-service Not-in-family
## 3288 Married-civ-spouse Farming-fishing Husband
## 3289 Married-civ-spouse Craft-repair Husband
## 3290 Married-civ-spouse Craft-repair Husband
## 3291 Divorced Exec-managerial Unmarried
## 3292 Married-civ-spouse ? Husband
## 3293 Married-civ-spouse Prof-specialty Husband
## 3294 Married-civ-spouse Exec-managerial Husband
## 3295 Divorced Exec-managerial Unmarried
## 3296 Never-married Tech-support Not-in-family
## 3297 Married-civ-spouse Transport-moving Husband
## 3298 Married-civ-spouse ? Husband
## 3299 Never-married Other-service Unmarried
## 3300 Never-married Sales Not-in-family
## 3301 Divorced Adm-clerical Unmarried
## 3302 Divorced Craft-repair Other-relative
## 3303 Married-civ-spouse Adm-clerical Husband
## 3304 Married-civ-spouse Other-service Husband
## 3305 Divorced Adm-clerical Unmarried
## 3306 Divorced Exec-managerial Not-in-family
## 3307 Never-married Sales Not-in-family
## 3308 Divorced Adm-clerical Not-in-family
## 3309 Married-civ-spouse Handlers-cleaners Husband
## 3310 Married-civ-spouse Adm-clerical Husband
## 3311 Never-married Sales Not-in-family
## 3312 Married-civ-spouse Prof-specialty Husband
## 3313 Married-civ-spouse Farming-fishing Husband
## 3314 Never-married Prof-specialty Own-child
## 3315 Never-married Transport-moving Not-in-family
## 3316 Widowed Sales Not-in-family
## 3317 Never-married Protective-serv Not-in-family
## 3318 Married-civ-spouse Tech-support Husband
## 3319 Married-civ-spouse Exec-managerial Husband
## 3320 Never-married Machine-op-inspct Own-child
## 3321 Never-married Adm-clerical Own-child
## 3322 Married-civ-spouse Tech-support Husband
## 3323 Married-civ-spouse Craft-repair Husband
## 3324 Married-civ-spouse Transport-moving Husband
## 3325 Widowed Prof-specialty Not-in-family
## 3326 Divorced Adm-clerical Unmarried
## 3327 Divorced Farming-fishing Not-in-family
## 3328 Married-civ-spouse Prof-specialty Husband
## 3329 Married-civ-spouse Prof-specialty Husband
## 3330 Divorced Adm-clerical Unmarried
## 3331 Never-married ? Not-in-family
## 3332 Never-married Tech-support Other-relative
## 3333 Divorced Adm-clerical Unmarried
## 3334 Married-civ-spouse Craft-repair Husband
## 3335 Never-married Handlers-cleaners Own-child
## 3336 Divorced Machine-op-inspct Not-in-family
## 3337 Married-civ-spouse Adm-clerical Wife
## 3338 Married-civ-spouse Exec-managerial Husband
## 3339 Widowed ? Not-in-family
## 3340 Widowed Craft-repair Unmarried
## 3341 Separated Other-service Not-in-family
## 3342 Divorced Adm-clerical Unmarried
## 3343 Separated Other-service Unmarried
## 3344 Married-civ-spouse Sales Husband
## 3345 Never-married Adm-clerical Own-child
## 3346 Never-married Machine-op-inspct Not-in-family
## 3347 Separated Adm-clerical Unmarried
## 3348 Married-spouse-absent Craft-repair Other-relative
## 3349 Married-civ-spouse Craft-repair Husband
## 3350 Married-civ-spouse Prof-specialty Wife
## 3351 Married-spouse-absent Farming-fishing Not-in-family
## 3352 Never-married ? Not-in-family
## 3353 Married-civ-spouse Adm-clerical Wife
## 3354 Married-civ-spouse Craft-repair Husband
## 3355 Never-married Handlers-cleaners Unmarried
## 3356 Never-married Prof-specialty Not-in-family
## 3357 Never-married Adm-clerical Own-child
## 3358 Never-married Adm-clerical Own-child
## 3359 Married-civ-spouse Adm-clerical Husband
## 3360 Never-married Exec-managerial Not-in-family
## 3361 Married-civ-spouse Sales Wife
## 3362 Never-married Priv-house-serv Other-relative
## 3363 Never-married Other-service Own-child
## 3364 Married-civ-spouse Exec-managerial Husband
## 3365 Never-married Adm-clerical Own-child
## 3366 Married-civ-spouse Exec-managerial Husband
## 3367 Married-civ-spouse Machine-op-inspct Husband
## 3368 Married-civ-spouse Exec-managerial Husband
## 3369 Married-civ-spouse Prof-specialty Husband
## 3370 Married-civ-spouse Exec-managerial Husband
## 3371 Married-civ-spouse Prof-specialty Husband
## 3372 Never-married ? Own-child
## 3373 Separated Other-service Own-child
## 3374 Divorced Tech-support Unmarried
## 3375 Married-civ-spouse Craft-repair Husband
## 3376 Married-civ-spouse Craft-repair Husband
## 3377 Married-civ-spouse Transport-moving Husband
## 3378 Married-civ-spouse Sales Husband
## 3379 Married-civ-spouse Craft-repair Husband
## 3380 Separated Adm-clerical Unmarried
## 3381 Never-married Machine-op-inspct Unmarried
## 3382 Married-civ-spouse Exec-managerial Husband
## 3383 Married-civ-spouse Craft-repair Husband
## 3384 Married-civ-spouse Craft-repair Husband
## 3385 Married-civ-spouse Machine-op-inspct Wife
## 3386 Married-civ-spouse Transport-moving Husband
## 3387 Married-civ-spouse Sales Husband
## 3388 Married-spouse-absent ? Not-in-family
## 3389 Married-civ-spouse Farming-fishing Husband
## 3390 Married-civ-spouse Prof-specialty Husband
## 3391 Widowed Prof-specialty Unmarried
## 3392 Never-married Other-service Own-child
## 3393 Married-civ-spouse Prof-specialty Husband
## 3394 Married-civ-spouse Farming-fishing Husband
## 3395 Never-married Other-service Own-child
## 3396 Separated Prof-specialty Not-in-family
## 3397 Never-married Exec-managerial Not-in-family
## 3398 Never-married Machine-op-inspct Own-child
## 3399 Married-civ-spouse Exec-managerial Husband
## 3400 Married-civ-spouse Transport-moving Husband
## 3401 Married-civ-spouse Craft-repair Husband
## 3402 Married-civ-spouse Craft-repair Husband
## 3403 Married-civ-spouse ? Husband
## 3404 Never-married Farming-fishing Not-in-family
## 3405 Married-civ-spouse Adm-clerical Husband
## 3406 Married-civ-spouse Exec-managerial Husband
## 3407 Married-civ-spouse Machine-op-inspct Husband
## 3408 Married-civ-spouse Exec-managerial Husband
## 3409 Married-civ-spouse Sales Husband
## 3410 Separated Handlers-cleaners Unmarried
## 3411 Married-civ-spouse Exec-managerial Husband
## 3412 Never-married Machine-op-inspct Not-in-family
## 3413 Married-civ-spouse Machine-op-inspct Husband
## 3414 Married-civ-spouse Sales Husband
## 3415 Married-civ-spouse Craft-repair Husband
## 3416 Married-civ-spouse Craft-repair Husband
## 3417 Separated Exec-managerial Unmarried
## 3418 Never-married Sales Not-in-family
## 3419 Married-civ-spouse Exec-managerial Husband
## 3420 Never-married Exec-managerial Not-in-family
## 3421 Never-married Other-service Not-in-family
## 3422 Separated Adm-clerical Not-in-family
## 3423 Divorced Other-service Not-in-family
## 3424 Married-spouse-absent Prof-specialty Not-in-family
## 3425 Married-civ-spouse Farming-fishing Husband
## 3426 Never-married Other-service Own-child
## 3427 Divorced Prof-specialty Not-in-family
## 3428 Married-civ-spouse Sales Husband
## 3429 Married-civ-spouse Sales Husband
## 3430 Never-married Transport-moving Own-child
## 3431 Married-civ-spouse Tech-support Wife
## 3432 Never-married Sales Own-child
## 3433 Married-civ-spouse Machine-op-inspct Husband
## 3434 Married-civ-spouse Sales Husband
## 3435 Divorced Other-service Not-in-family
## 3436 Married-civ-spouse Transport-moving Husband
## 3437 Married-civ-spouse Craft-repair Husband
## 3438 Married-civ-spouse Craft-repair Husband
## 3439 Married-civ-spouse Craft-repair Husband
## 3440 Divorced ? Not-in-family
## 3441 Never-married Prof-specialty Not-in-family
## 3442 Never-married Handlers-cleaners Not-in-family
## 3443 Married-civ-spouse Craft-repair Husband
## 3444 Never-married Other-service Other-relative
## 3445 Divorced Prof-specialty Not-in-family
## 3446 Married-civ-spouse Exec-managerial Husband
## 3447 Married-civ-spouse Farming-fishing Husband
## 3448 Married-civ-spouse Craft-repair Husband
## 3449 Married-civ-spouse Sales Husband
## 3450 Never-married Exec-managerial Not-in-family
## 3451 Divorced Sales Own-child
## 3452 Married-civ-spouse Prof-specialty Wife
## 3453 Never-married Adm-clerical Own-child
## 3454 Never-married ? Other-relative
## 3455 Divorced Prof-specialty Unmarried
## 3456 Never-married Machine-op-inspct Own-child
## 3457 Never-married ? Own-child
## 3458 Never-married Prof-specialty Own-child
## 3459 Married-civ-spouse Sales Husband
## 3460 Never-married ? Unmarried
## 3461 Married-civ-spouse Craft-repair Husband
## 3462 Widowed Other-service Unmarried
## 3463 Divorced Transport-moving Not-in-family
## 3464 Never-married Prof-specialty Own-child
## 3465 Married-civ-spouse Adm-clerical Husband
## 3466 Never-married Prof-specialty Not-in-family
## 3467 Married-civ-spouse Exec-managerial Husband
## 3468 Married-civ-spouse Machine-op-inspct Husband
## 3469 Married-civ-spouse Prof-specialty Wife
## 3470 Married-civ-spouse Sales Husband
## 3471 Married-civ-spouse Exec-managerial Husband
## 3472 Married-civ-spouse Transport-moving Husband
## 3473 Never-married Prof-specialty Own-child
## 3474 Never-married Other-service Own-child
## 3475 Divorced Prof-specialty Unmarried
## 3476 Married-civ-spouse Exec-managerial Husband
## 3477 Never-married Sales Own-child
## 3478 Married-civ-spouse Machine-op-inspct Husband
## 3479 Never-married Sales Unmarried
## 3480 Never-married Exec-managerial Not-in-family
## 3481 Married-civ-spouse Tech-support Husband
## 3482 Never-married Handlers-cleaners Not-in-family
## 3483 Divorced Sales Unmarried
## 3484 Married-civ-spouse Prof-specialty Husband
## 3485 Never-married Craft-repair Own-child
## 3486 Married-civ-spouse Exec-managerial Husband
## 3487 Never-married ? Not-in-family
## 3488 Never-married Machine-op-inspct Not-in-family
## 3489 Never-married Exec-managerial Not-in-family
## 3490 Married-civ-spouse Prof-specialty Wife
## 3491 Married-civ-spouse Other-service Husband
## 3492 Never-married Adm-clerical Unmarried
## 3493 Married-civ-spouse Prof-specialty Husband
## 3494 Married-civ-spouse Other-service Wife
## 3495 Never-married Exec-managerial Not-in-family
## 3496 Never-married Other-service Own-child
## 3497 Never-married Other-service Other-relative
## 3498 Married-civ-spouse Craft-repair Husband
## 3499 Married-civ-spouse Handlers-cleaners Husband
## 3500 Married-civ-spouse Prof-specialty Husband
## 3501 Married-civ-spouse Tech-support Husband
## 3502 Never-married Prof-specialty Unmarried
## 3503 Married-civ-spouse Craft-repair Husband
## 3504 Divorced Exec-managerial Unmarried
## 3505 Never-married Exec-managerial Not-in-family
## 3506 Married-civ-spouse Exec-managerial Husband
## 3507 Divorced Adm-clerical Own-child
## 3508 Never-married Protective-serv Not-in-family
## 3509 Married-civ-spouse Transport-moving Husband
## 3510 Never-married Sales Own-child
## 3511 Widowed Sales Not-in-family
## 3512 Divorced Craft-repair Unmarried
## 3513 Never-married Adm-clerical Own-child
## 3514 Never-married Tech-support Not-in-family
## 3515 Divorced Exec-managerial Unmarried
## 3516 Divorced Prof-specialty Not-in-family
## 3517 Never-married ? Own-child
## 3518 Married-civ-spouse Craft-repair Husband
## 3519 Married-civ-spouse Protective-serv Husband
## 3520 Divorced Other-service Unmarried
## 3521 Married-civ-spouse Craft-repair Husband
## 3522 Married-civ-spouse Craft-repair Husband
## 3523 Married-civ-spouse Craft-repair Husband
## 3524 Married-civ-spouse Exec-managerial Husband
## 3525 Never-married Handlers-cleaners Own-child
## 3526 Married-civ-spouse Machine-op-inspct Husband
## 3527 Never-married Adm-clerical Own-child
## 3528 Married-civ-spouse Handlers-cleaners Husband
## 3529 Never-married Other-service Own-child
## 3530 Divorced Machine-op-inspct Not-in-family
## 3531 Married-civ-spouse Sales Husband
## 3532 Divorced ? Unmarried
## 3533 Never-married Farming-fishing Not-in-family
## 3534 Married-civ-spouse Transport-moving Husband
## 3535 Never-married Other-service Own-child
## 3536 Never-married Other-service Other-relative
## 3537 Married-civ-spouse Exec-managerial Husband
## 3538 Widowed Adm-clerical Not-in-family
## 3539 Married-civ-spouse Exec-managerial Husband
## 3540 Married-civ-spouse Craft-repair Husband
## 3541 Married-civ-spouse Sales Husband
## 3542 Married-civ-spouse Farming-fishing Husband
## 3543 Never-married Sales Not-in-family
## 3544 Married-civ-spouse Adm-clerical Wife
## 3545 Divorced Adm-clerical Unmarried
## 3546 Separated Sales Not-in-family
## 3547 Never-married Handlers-cleaners Own-child
## 3548 Married-civ-spouse Craft-repair Husband
## 3549 Never-married Sales Unmarried
## 3550 Never-married Sales Own-child
## 3551 Married-civ-spouse Exec-managerial Husband
## 3552 Never-married Sales Not-in-family
## 3553 Married-civ-spouse Craft-repair Husband
## 3554 Divorced Sales Not-in-family
## 3555 Never-married Sales Unmarried
## 3556 Never-married ? Not-in-family
## 3557 Divorced Exec-managerial Not-in-family
## 3558 Never-married Adm-clerical Not-in-family
## 3559 Never-married Prof-specialty Own-child
## 3560 Divorced Exec-managerial Not-in-family
## 3561 Divorced Other-service Not-in-family
## 3562 Married-civ-spouse Farming-fishing Husband
## 3563 Never-married Machine-op-inspct Not-in-family
## 3564 Divorced Craft-repair Not-in-family
## 3565 Married-civ-spouse Exec-managerial Husband
## 3566 Divorced Other-service Unmarried
## 3567 Never-married Prof-specialty Not-in-family
## 3568 Married-civ-spouse Machine-op-inspct Husband
## 3569 Married-civ-spouse Machine-op-inspct Husband
## 3570 Never-married Tech-support Not-in-family
## 3571 Married-civ-spouse Machine-op-inspct Husband
## 3572 Married-civ-spouse Craft-repair Husband
## 3573 Never-married ? Own-child
## 3574 Never-married ? Not-in-family
## 3575 Married-civ-spouse Prof-specialty Husband
## 3576 Married-civ-spouse Exec-managerial Husband
## 3577 Never-married Other-service Own-child
## 3578 Married-civ-spouse Prof-specialty Husband
## 3579 Married-civ-spouse Prof-specialty Husband
## 3580 Never-married ? Not-in-family
## 3581 Married-civ-spouse Craft-repair Husband
## 3582 Married-spouse-absent Transport-moving Unmarried
## 3583 Married-civ-spouse Other-service Husband
## 3584 Married-civ-spouse Protective-serv Husband
## 3585 Never-married Prof-specialty Not-in-family
## 3586 Never-married Other-service Other-relative
## 3587 Never-married Prof-specialty Not-in-family
## 3588 Divorced Sales Unmarried
## 3589 Widowed ? Not-in-family
## 3590 Never-married Exec-managerial Own-child
## 3591 Never-married Tech-support Not-in-family
## 3592 Never-married Prof-specialty Own-child
## 3593 Widowed ? Not-in-family
## 3594 Married-civ-spouse Farming-fishing Wife
## 3595 Married-civ-spouse ? Wife
## 3596 Married-civ-spouse Other-service Wife
## 3597 Never-married Adm-clerical Own-child
## 3598 Never-married ? Own-child
## 3599 Divorced Adm-clerical Not-in-family
## 3600 Married-civ-spouse Tech-support Husband
## 3601 Divorced Other-service Not-in-family
## 3602 Never-married Prof-specialty Not-in-family
## 3603 Married-civ-spouse Prof-specialty Husband
## 3604 Married-civ-spouse Transport-moving Husband
## 3605 Married-civ-spouse Sales Husband
## 3606 Never-married Other-service Own-child
## 3607 Married-civ-spouse Transport-moving Husband
## 3608 Separated Craft-repair Not-in-family
## 3609 Never-married Machine-op-inspct Own-child
## 3610 Never-married Prof-specialty Not-in-family
## 3611 Married-civ-spouse Adm-clerical Husband
## 3612 Married-civ-spouse Sales Wife
## 3613 Married-civ-spouse Tech-support Husband
## 3614 Never-married Adm-clerical Own-child
## 3615 Married-civ-spouse Craft-repair Husband
## 3616 Divorced Tech-support Own-child
## 3617 Never-married Exec-managerial Not-in-family
## 3618 Divorced Farming-fishing Unmarried
## 3619 Never-married Other-service Own-child
## 3620 Married-civ-spouse Sales Husband
## 3621 Separated Adm-clerical Other-relative
## 3622 Never-married Sales Not-in-family
## 3623 Never-married Priv-house-serv Not-in-family
## 3624 Married-civ-spouse Machine-op-inspct Husband
## 3625 Widowed Adm-clerical Not-in-family
## 3626 Married-civ-spouse Exec-managerial Husband
## 3627 Married-civ-spouse Adm-clerical Wife
## 3628 Married-civ-spouse Prof-specialty Husband
## 3629 Never-married Exec-managerial Other-relative
## 3630 Married-civ-spouse Prof-specialty Husband
## 3631 Divorced Prof-specialty Unmarried
## 3632 Married-civ-spouse ? Husband
## 3633 Never-married Adm-clerical Own-child
## 3634 Widowed Protective-serv Not-in-family
## 3635 Divorced Craft-repair Not-in-family
## 3636 Married-civ-spouse Machine-op-inspct Husband
## 3637 Married-civ-spouse Machine-op-inspct Husband
## 3638 Divorced Adm-clerical Unmarried
## 3639 Never-married Craft-repair Not-in-family
## 3640 Married-civ-spouse Sales Husband
## 3641 Never-married Transport-moving Not-in-family
## 3642 Never-married Transport-moving Unmarried
## 3643 Married-civ-spouse Machine-op-inspct Husband
## 3644 Married-civ-spouse Craft-repair Husband
## 3645 Married-civ-spouse Machine-op-inspct Husband
## 3646 Never-married Other-service Own-child
## 3647 Married-civ-spouse Sales Wife
## 3648 Married-civ-spouse Machine-op-inspct Wife
## 3649 Never-married Exec-managerial Not-in-family
## 3650 Never-married Other-service Own-child
## 3651 Never-married Adm-clerical Own-child
## 3652 Married-civ-spouse Exec-managerial Husband
## 3653 Married-civ-spouse Prof-specialty Husband
## 3654 Divorced Craft-repair Own-child
## 3655 Married-civ-spouse Transport-moving Husband
## 3656 Married-civ-spouse Prof-specialty Husband
## 3657 Married-civ-spouse Machine-op-inspct Husband
## 3658 Married-civ-spouse Other-service Husband
## 3659 Never-married Sales Own-child
## 3660 Married-civ-spouse Handlers-cleaners Husband
## 3661 Married-civ-spouse Transport-moving Husband
## 3662 Never-married Adm-clerical Not-in-family
## 3663 Never-married Farming-fishing Not-in-family
## 3664 Married-civ-spouse Machine-op-inspct Husband
## 3665 Married-civ-spouse Prof-specialty Husband
## 3666 Never-married Sales Not-in-family
## 3667 Married-civ-spouse Exec-managerial Husband
## 3668 Divorced Exec-managerial Unmarried
## 3669 Married-civ-spouse Transport-moving Husband
## 3670 Married-civ-spouse Machine-op-inspct Husband
## 3671 Divorced ? Own-child
## 3672 Married-civ-spouse Exec-managerial Husband
## 3673 Married-civ-spouse Prof-specialty Husband
## 3674 Married-civ-spouse Craft-repair Husband
## 3675 Married-civ-spouse Prof-specialty Husband
## 3676 Never-married Handlers-cleaners Other-relative
## 3677 Married-civ-spouse Machine-op-inspct Husband
## 3678 Divorced Prof-specialty Not-in-family
## 3679 Married-civ-spouse Adm-clerical Husband
## 3680 Never-married Sales Own-child
## 3681 Married-civ-spouse Protective-serv Husband
## 3682 Never-married Sales Own-child
## 3683 Married-civ-spouse Exec-managerial Husband
## 3684 Divorced Adm-clerical Not-in-family
## 3685 Married-civ-spouse Exec-managerial Husband
## 3686 Married-civ-spouse Craft-repair Husband
## 3687 Never-married Other-service Other-relative
## 3688 Never-married Handlers-cleaners Other-relative
## 3689 Divorced Handlers-cleaners Not-in-family
## 3690 Married-civ-spouse Exec-managerial Husband
## 3691 Married-civ-spouse Transport-moving Husband
## 3692 Married-civ-spouse Craft-repair Husband
## 3693 Married-civ-spouse Craft-repair Husband
## 3694 Married-civ-spouse Adm-clerical Wife
## 3695 Married-civ-spouse Other-service Husband
## 3696 Divorced Sales Unmarried
## 3697 Never-married Machine-op-inspct Other-relative
## 3698 Married-civ-spouse Sales Husband
## 3699 Married-civ-spouse Exec-managerial Husband
## 3700 Divorced Machine-op-inspct Not-in-family
## 3701 Married-civ-spouse Exec-managerial Husband
## 3702 Married-civ-spouse Handlers-cleaners Husband
## 3703 Never-married Craft-repair Not-in-family
## 3704 Married-civ-spouse ? Husband
## 3705 Divorced Prof-specialty Not-in-family
## 3706 Married-civ-spouse Craft-repair Husband
## 3707 Never-married Other-service Other-relative
## 3708 Married-civ-spouse Craft-repair Husband
## 3709 Married-civ-spouse Adm-clerical Husband
## 3710 Married-civ-spouse Prof-specialty Wife
## 3711 Never-married Adm-clerical Not-in-family
## 3712 Married-civ-spouse Farming-fishing Husband
## 3713 Never-married Adm-clerical Own-child
## 3714 Divorced Protective-serv Own-child
## 3715 Married-civ-spouse Exec-managerial Other-relative
## 3716 Never-married Adm-clerical Own-child
## 3717 Married-civ-spouse Exec-managerial Husband
## 3718 Never-married Exec-managerial Own-child
## 3719 Never-married Other-service Own-child
## 3720 Never-married Adm-clerical Own-child
## 3721 Married-civ-spouse Transport-moving Husband
## 3722 Married-civ-spouse Exec-managerial Husband
## 3723 Never-married Adm-clerical Unmarried
## 3724 Married-civ-spouse Sales Husband
## 3725 Married-civ-spouse Exec-managerial Husband
## 3726 Never-married ? Own-child
## 3727 Married-civ-spouse Adm-clerical Wife
## 3728 Married-civ-spouse Prof-specialty Wife
## 3729 Married-civ-spouse Craft-repair Husband
## 3730 Never-married Exec-managerial Unmarried
## 3731 Never-married Adm-clerical Not-in-family
## 3732 Married-civ-spouse Craft-repair Husband
## 3733 Married-civ-spouse Machine-op-inspct Husband
## 3734 Married-civ-spouse Prof-specialty Wife
## 3735 Never-married Sales Own-child
## 3736 Married-civ-spouse Adm-clerical Husband
## 3737 Married-civ-spouse ? Wife
## 3738 Never-married Other-service Other-relative
## 3739 Married-civ-spouse Craft-repair Husband
## 3740 Married-civ-spouse Other-service Husband
## 3741 Married-civ-spouse Other-service Husband
## 3742 Married-civ-spouse Adm-clerical Husband
## 3743 Divorced Transport-moving Not-in-family
## 3744 Divorced Prof-specialty Not-in-family
## 3745 Never-married ? Own-child
## 3746 Married-civ-spouse Farming-fishing Husband
## 3747 Separated Priv-house-serv Unmarried
## 3748 Divorced ? Unmarried
## 3749 Married-civ-spouse Craft-repair Husband
## 3750 Married-civ-spouse Adm-clerical Husband
## 3751 Divorced Exec-managerial Not-in-family
## 3752 Married-civ-spouse Tech-support Husband
## 3753 Married-civ-spouse Machine-op-inspct Husband
## 3754 Never-married Adm-clerical Not-in-family
## 3755 Married-civ-spouse Sales Husband
## 3756 Never-married Protective-serv Other-relative
## 3757 Divorced Adm-clerical Unmarried
## 3758 Married-civ-spouse Farming-fishing Wife
## 3759 Married-civ-spouse Transport-moving Husband
## 3760 Married-civ-spouse ? Husband
## 3761 Married-civ-spouse Craft-repair Husband
## 3762 Never-married Prof-specialty Not-in-family
## 3763 Never-married Other-service Not-in-family
## 3764 Never-married Adm-clerical Not-in-family
## 3765 Never-married Handlers-cleaners Own-child
## 3766 Divorced Sales Unmarried
## 3767 Married-civ-spouse Protective-serv Husband
## 3768 Never-married Adm-clerical Unmarried
## 3769 Married-civ-spouse Other-service Husband
## 3770 Never-married Other-service Not-in-family
## 3771 Never-married Prof-specialty Unmarried
## 3772 Divorced Priv-house-serv Own-child
## 3773 Married-civ-spouse Transport-moving Husband
## 3774 Widowed ? Not-in-family
## 3775 Married-civ-spouse Exec-managerial Husband
## 3776 Never-married ? Own-child
## 3777 Divorced Adm-clerical Not-in-family
## 3778 Never-married Prof-specialty Not-in-family
## 3779 Married-civ-spouse Protective-serv Husband
## 3780 Divorced Transport-moving Unmarried
## 3781 Divorced Adm-clerical Unmarried
## 3782 Never-married Adm-clerical Not-in-family
## 3783 Widowed Craft-repair Not-in-family
## 3784 Married-civ-spouse Sales Husband
## 3785 Married-civ-spouse Craft-repair Husband
## 3786 Never-married Transport-moving Not-in-family
## 3787 Married-civ-spouse Exec-managerial Husband
## 3788 Married-AF-spouse Protective-serv Husband
## 3789 Married-civ-spouse Exec-managerial Husband
## 3790 Married-civ-spouse Exec-managerial Husband
## 3791 Divorced Sales Not-in-family
## 3792 Never-married Exec-managerial Own-child
## 3793 Married-civ-spouse Adm-clerical Husband
## 3794 Never-married Other-service Own-child
## 3795 Never-married Craft-repair Not-in-family
## 3796 Married-civ-spouse Transport-moving Husband
## 3797 Never-married Machine-op-inspct Not-in-family
## 3798 Married-civ-spouse Transport-moving Husband
## 3799 Never-married Sales Other-relative
## 3800 Married-civ-spouse Craft-repair Husband
## 3801 Married-civ-spouse Protective-serv Husband
## 3802 Never-married Other-service Own-child
## 3803 Never-married Adm-clerical Own-child
## 3804 Never-married Other-service Own-child
## 3805 Never-married Other-service Other-relative
## 3806 Never-married ? Own-child
## 3807 Married-civ-spouse Prof-specialty Husband
## 3808 Never-married Exec-managerial Own-child
## 3809 Married-civ-spouse Prof-specialty Husband
## 3810 Married-civ-spouse Sales Husband
## 3811 Never-married Prof-specialty Not-in-family
## 3812 Divorced Tech-support Unmarried
## 3813 Married-civ-spouse Protective-serv Husband
## 3814 Divorced Prof-specialty Not-in-family
## 3815 Never-married Prof-specialty Not-in-family
## 3816 Never-married Other-service Own-child
## 3817 Married-civ-spouse Prof-specialty Other-relative
## 3818 Married-civ-spouse Exec-managerial Husband
## 3819 Married-civ-spouse Craft-repair Husband
## 3820 Never-married Adm-clerical Not-in-family
## 3821 Never-married Farming-fishing Unmarried
## 3822 Married-civ-spouse Other-service Wife
## 3823 Divorced ? Not-in-family
## 3824 Separated Craft-repair Not-in-family
## 3825 Never-married Farming-fishing Own-child
## 3826 Never-married Transport-moving Own-child
## 3827 Married-civ-spouse Farming-fishing Husband
## 3828 Married-civ-spouse Transport-moving Husband
## 3829 Never-married Craft-repair Not-in-family
## 3830 Married-civ-spouse Exec-managerial Husband
## 3831 Married-civ-spouse Other-service Husband
## 3832 Married-civ-spouse Prof-specialty Husband
## 3833 Married-civ-spouse Transport-moving Husband
## 3834 Married-civ-spouse Prof-specialty Husband
## 3835 Never-married ? Not-in-family
## 3836 Never-married Other-service Not-in-family
## 3837 Married-civ-spouse Prof-specialty Husband
## 3838 Divorced Exec-managerial Not-in-family
## 3839 Married-civ-spouse Exec-managerial Husband
## 3840 Never-married Craft-repair Not-in-family
## 3841 Married-civ-spouse Adm-clerical Husband
## 3842 Separated Machine-op-inspct Unmarried
## 3843 Divorced Adm-clerical Unmarried
## 3844 Never-married ? Own-child
## 3845 Never-married Exec-managerial Own-child
## 3846 Married-civ-spouse Adm-clerical Husband
## 3847 Divorced Adm-clerical Not-in-family
## 3848 Married-civ-spouse Sales Wife
## 3849 Separated Tech-support Unmarried
## 3850 Never-married Exec-managerial Not-in-family
## 3851 Married-civ-spouse Sales Husband
## 3852 Never-married ? Own-child
## 3853 Never-married Other-service Own-child
## 3854 Never-married Other-service Not-in-family
## 3855 Married-civ-spouse Handlers-cleaners Husband
## 3856 Never-married Sales Not-in-family
## 3857 Never-married Adm-clerical Not-in-family
## 3858 Divorced Sales Not-in-family
## 3859 Never-married Prof-specialty Unmarried
## 3860 Divorced Exec-managerial Unmarried
## 3861 Married-civ-spouse Sales Husband
## 3862 Divorced Transport-moving Unmarried
## 3863 Married-civ-spouse Tech-support Husband
## 3864 Married-civ-spouse ? Husband
## 3865 Married-civ-spouse Craft-repair Husband
## 3866 Married-civ-spouse Sales Wife
## 3867 Married-civ-spouse Transport-moving Husband
## 3868 Married-civ-spouse Handlers-cleaners Husband
## 3869 Never-married Craft-repair Not-in-family
## 3870 Never-married Sales Not-in-family
## 3871 Married-civ-spouse Handlers-cleaners Husband
## 3872 Married-civ-spouse Protective-serv Husband
## 3873 Married-civ-spouse Machine-op-inspct Husband
## 3874 Never-married Sales Not-in-family
## 3875 Never-married Exec-managerial Own-child
## 3876 Separated Handlers-cleaners Not-in-family
## 3877 Married-civ-spouse Transport-moving Husband
## 3878 Divorced Exec-managerial Unmarried
## 3879 Married-civ-spouse Exec-managerial Husband
## 3880 Married-civ-spouse Machine-op-inspct Wife
## 3881 Married-civ-spouse Protective-serv Husband
## 3882 Widowed Prof-specialty Not-in-family
## 3883 Married-civ-spouse Exec-managerial Husband
## 3884 Married-civ-spouse Machine-op-inspct Husband
## 3885 Married-civ-spouse Prof-specialty Husband
## 3886 Divorced Sales Own-child
## 3887 Married-civ-spouse Tech-support Husband
## 3888 Married-civ-spouse ? Wife
## 3889 Separated Craft-repair Unmarried
## 3890 Married-civ-spouse Craft-repair Husband
## 3891 Divorced Adm-clerical Own-child
## 3892 Never-married Machine-op-inspct Own-child
## 3893 Married-civ-spouse Sales Husband
## 3894 Divorced Prof-specialty Not-in-family
## 3895 Married-civ-spouse Adm-clerical Husband
## 3896 Married-civ-spouse ? Wife
## 3897 Divorced Prof-specialty Unmarried
## 3898 Never-married ? Own-child
## 3899 Never-married Other-service Own-child
## 3900 Never-married Craft-repair Other-relative
## 3901 Married-civ-spouse Exec-managerial Husband
## 3902 Never-married ? Own-child
## 3903 Never-married ? Own-child
## 3904 Never-married Other-service Not-in-family
## 3905 Married-civ-spouse Adm-clerical Husband
## 3906 Married-civ-spouse Handlers-cleaners Husband
## 3907 Married-civ-spouse Prof-specialty Husband
## 3908 Never-married Adm-clerical Not-in-family
## 3909 Married-civ-spouse Other-service Husband
## 3910 Married-civ-spouse Exec-managerial Husband
## 3911 Divorced Sales Unmarried
## 3912 Married-civ-spouse Craft-repair Husband
## 3913 Married-civ-spouse Prof-specialty Husband
## 3914 Married-civ-spouse Exec-managerial Husband
## 3915 Married-civ-spouse Craft-repair Husband
## 3916 Married-civ-spouse Craft-repair Husband
## 3917 Never-married ? Not-in-family
## 3918 Never-married Other-service Own-child
## 3919 Married-civ-spouse Prof-specialty Husband
## 3920 Never-married Transport-moving Own-child
## 3921 Married-civ-spouse Protective-serv Husband
## 3922 Divorced Craft-repair Not-in-family
## 3923 Never-married Adm-clerical Own-child
## 3924 Married-civ-spouse Other-service Husband
## 3925 Married-civ-spouse Adm-clerical Husband
## 3926 Married-civ-spouse Sales Husband
## 3927 Divorced Prof-specialty Not-in-family
## 3928 Married-civ-spouse Exec-managerial Husband
## 3929 Married-civ-spouse Handlers-cleaners Husband
## 3930 Married-civ-spouse Craft-repair Husband
## 3931 Never-married Sales Own-child
## 3932 Widowed Other-service Unmarried
## 3933 Married-civ-spouse Craft-repair Husband
## 3934 Married-civ-spouse Craft-repair Husband
## 3935 Divorced Prof-specialty Not-in-family
## 3936 Never-married Sales Own-child
## 3937 Divorced Adm-clerical Unmarried
## 3938 Separated Prof-specialty Not-in-family
## 3939 Divorced Craft-repair Unmarried
## 3940 Married-civ-spouse Machine-op-inspct Husband
## 3941 Never-married Prof-specialty Not-in-family
## 3942 Married-civ-spouse Machine-op-inspct Husband
## 3943 Never-married ? Own-child
## 3944 Never-married Adm-clerical Unmarried
## 3945 Married-civ-spouse Machine-op-inspct Husband
## 3946 Married-civ-spouse Exec-managerial Husband
## 3947 Never-married Tech-support Not-in-family
## 3948 Divorced ? Not-in-family
## 3949 Married-civ-spouse Exec-managerial Husband
## 3950 Separated ? Unmarried
## 3951 Divorced ? Unmarried
## 3952 Never-married Prof-specialty Not-in-family
## 3953 Married-civ-spouse Tech-support Husband
## 3954 Married-civ-spouse Transport-moving Husband
## 3955 Married-civ-spouse Sales Husband
## 3956 Never-married Machine-op-inspct Other-relative
## 3957 Divorced Prof-specialty Not-in-family
## 3958 Divorced Prof-specialty Not-in-family
## 3959 Married-civ-spouse Craft-repair Husband
## 3960 Married-civ-spouse Craft-repair Husband
## 3961 Divorced Prof-specialty Unmarried
## 3962 Married-civ-spouse Craft-repair Husband
## 3963 Married-civ-spouse Craft-repair Husband
## 3964 Widowed ? Not-in-family
## 3965 Married-civ-spouse Prof-specialty Husband
## 3966 Married-civ-spouse Transport-moving Wife
## 3967 Married-civ-spouse Prof-specialty Wife
## 3968 Married-civ-spouse Craft-repair Husband
## 3969 Married-civ-spouse Transport-moving Husband
## 3970 Divorced ? Not-in-family
## 3971 Never-married Adm-clerical Not-in-family
## 3972 Divorced Handlers-cleaners Not-in-family
## 3973 Never-married Handlers-cleaners Own-child
## 3974 Never-married Adm-clerical Own-child
## 3975 Separated Adm-clerical Not-in-family
## 3976 Never-married Exec-managerial Not-in-family
## 3977 Married-civ-spouse Farming-fishing Husband
## 3978 Never-married Adm-clerical Own-child
## 3979 Married-civ-spouse Sales Husband
## 3980 Divorced Sales Not-in-family
## 3981 Married-civ-spouse ? Husband
## 3982 Never-married Machine-op-inspct Not-in-family
## 3983 Divorced Prof-specialty Unmarried
## 3984 Married-civ-spouse Exec-managerial Husband
## 3985 Divorced Other-service Not-in-family
## 3986 Never-married Other-service Own-child
## 3987 Separated Adm-clerical Not-in-family
## 3988 Married-civ-spouse Other-service Husband
## 3989 Married-civ-spouse Machine-op-inspct Husband
## 3990 Never-married Protective-serv Own-child
## 3991 Widowed ? Not-in-family
## 3992 Never-married Adm-clerical Own-child
## 3993 Divorced Craft-repair Other-relative
## 3994 Married-spouse-absent Tech-support Own-child
## 3995 Separated Exec-managerial Not-in-family
## 3996 Never-married Adm-clerical Unmarried
## 3997 Never-married Other-service Not-in-family
## 3998 Married-civ-spouse Craft-repair Husband
## 3999 Married-civ-spouse Transport-moving Husband
## 4000 Married-civ-spouse Craft-repair Husband
## 4001 Married-civ-spouse Sales Husband
## 4002 Never-married Machine-op-inspct Own-child
## 4003 Never-married Sales Own-child
## 4004 Never-married ? Not-in-family
## 4005 Never-married Prof-specialty Not-in-family
## 4006 Married-civ-spouse Craft-repair Husband
## 4007 Never-married Sales Not-in-family
## 4008 Divorced Priv-house-serv Not-in-family
## 4009 Married-civ-spouse Handlers-cleaners Husband
## 4010 Divorced Prof-specialty Not-in-family
## 4011 Never-married Adm-clerical Own-child
## 4012 Never-married Sales Not-in-family
## 4013 Married-civ-spouse Handlers-cleaners Husband
## 4014 Never-married Adm-clerical Own-child
## 4015 Never-married Protective-serv Own-child
## 4016 Married-civ-spouse Exec-managerial Husband
## 4017 Divorced Machine-op-inspct Own-child
## 4018 Married-civ-spouse ? Husband
## 4019 Married-civ-spouse ? Husband
## 4020 Never-married Sales Not-in-family
## 4021 Divorced Adm-clerical Unmarried
## 4022 Never-married ? Own-child
## 4023 Divorced Sales Own-child
## 4024 Never-married Adm-clerical Other-relative
## 4025 Married-civ-spouse Tech-support Husband
## 4026 Married-civ-spouse Craft-repair Husband
## 4027 Never-married Exec-managerial Not-in-family
## 4028 Married-civ-spouse Farming-fishing Husband
## 4029 Divorced Other-service Not-in-family
## 4030 Married-civ-spouse Exec-managerial Husband
## 4031 Never-married Protective-serv Not-in-family
## 4032 Married-civ-spouse Prof-specialty Husband
## 4033 Married-civ-spouse Craft-repair Husband
## 4034 Never-married Other-service Not-in-family
## 4035 Never-married Craft-repair Not-in-family
## 4036 Separated Prof-specialty Unmarried
## 4037 Never-married Exec-managerial Own-child
## 4038 Divorced Other-service Not-in-family
## 4039 Separated Transport-moving Own-child
## 4040 Divorced Craft-repair Not-in-family
## 4041 Never-married Exec-managerial Not-in-family
## 4042 Divorced Adm-clerical Unmarried
## 4043 Married-civ-spouse Handlers-cleaners Wife
## 4044 Divorced Other-service Not-in-family
## 4045 Never-married Sales Own-child
## 4046 Married-civ-spouse Machine-op-inspct Husband
## 4047 Never-married Machine-op-inspct Other-relative
## 4048 Widowed Other-service Unmarried
## 4049 Married-civ-spouse Craft-repair Husband
## 4050 Divorced Craft-repair Not-in-family
## 4051 Married-civ-spouse Sales Husband
## 4052 Never-married Prof-specialty Not-in-family
## 4053 Divorced Transport-moving Not-in-family
## 4054 Married-civ-spouse Craft-repair Husband
## 4055 Married-civ-spouse Exec-managerial Husband
## 4056 Married-civ-spouse Prof-specialty Husband
## 4057 Married-civ-spouse Handlers-cleaners Husband
## 4058 Never-married Adm-clerical Unmarried
## 4059 Married-civ-spouse Craft-repair Husband
## 4060 Never-married Adm-clerical Own-child
## 4061 Married-civ-spouse Sales Husband
## 4062 Divorced Sales Own-child
## 4063 Never-married Sales Own-child
## 4064 Divorced Adm-clerical Not-in-family
## 4065 Divorced Sales Not-in-family
## 4066 Married-civ-spouse Sales Husband
## 4067 Married-civ-spouse Other-service Wife
## 4068 Divorced Handlers-cleaners Not-in-family
## 4069 Never-married Exec-managerial Own-child
## 4070 Never-married Other-service Unmarried
## 4071 Never-married Handlers-cleaners Own-child
## 4072 Divorced Adm-clerical Unmarried
## 4073 Never-married ? Unmarried
## 4074 Divorced Prof-specialty Unmarried
## 4075 Never-married Adm-clerical Not-in-family
## 4076 Married-civ-spouse Exec-managerial Husband
## 4077 Never-married Craft-repair Own-child
## 4078 Married-civ-spouse Sales Husband
## 4079 Never-married Tech-support Own-child
## 4080 Married-civ-spouse Sales Husband
## 4081 Never-married ? Own-child
## 4082 Never-married Handlers-cleaners Own-child
## 4083 Married-civ-spouse Craft-repair Husband
## 4084 Divorced Other-service Own-child
## 4085 Divorced Craft-repair Unmarried
## 4086 Divorced Other-service Other-relative
## 4087 Married-civ-spouse ? Husband
## 4088 Married-civ-spouse Exec-managerial Husband
## 4089 Married-civ-spouse Prof-specialty Husband
## 4090 Never-married Adm-clerical Own-child
## 4091 Never-married ? Own-child
## 4092 Divorced Craft-repair Not-in-family
## 4093 Never-married Prof-specialty Own-child
## 4094 Married-civ-spouse Prof-specialty Husband
## 4095 Married-civ-spouse Machine-op-inspct Husband
## 4096 Married-civ-spouse Exec-managerial Husband
## 4097 Married-civ-spouse Handlers-cleaners Husband
## 4098 Married-civ-spouse Prof-specialty Husband
## 4099 Never-married Handlers-cleaners Own-child
## 4100 Married-civ-spouse Transport-moving Husband
## 4101 Never-married Craft-repair Unmarried
## 4102 Married-civ-spouse Other-service Husband
## 4103 Married-civ-spouse Transport-moving Husband
## 4104 Never-married Handlers-cleaners Not-in-family
## 4105 Married-civ-spouse Sales Husband
## 4106 Divorced Handlers-cleaners Not-in-family
## 4107 Never-married Sales Not-in-family
## 4108 Married-civ-spouse Other-service Not-in-family
## 4109 Never-married Sales Not-in-family
## 4110 Widowed ? Other-relative
## 4111 Never-married Adm-clerical Not-in-family
## 4112 Divorced Transport-moving Not-in-family
## 4113 Divorced Protective-serv Unmarried
## 4114 Never-married Other-service Not-in-family
## 4115 Never-married Adm-clerical Not-in-family
## 4116 Married-civ-spouse Prof-specialty Husband
## 4117 Married-civ-spouse Transport-moving Husband
## 4118 Never-married Tech-support Own-child
## 4119 Never-married Sales Not-in-family
## 4120 Married-civ-spouse Transport-moving Husband
## 4121 Divorced Adm-clerical Not-in-family
## 4122 Married-civ-spouse Adm-clerical Husband
## 4123 Married-civ-spouse Machine-op-inspct Husband
## 4124 Divorced Other-service Own-child
## 4125 Never-married Sales Not-in-family
## 4126 Married-civ-spouse Transport-moving Husband
## 4127 Married-civ-spouse Exec-managerial Husband
## 4128 Married-civ-spouse Prof-specialty Husband
## 4129 Never-married Prof-specialty Own-child
## 4130 Never-married Other-service Not-in-family
## 4131 Never-married Craft-repair Unmarried
## 4132 Married-civ-spouse Exec-managerial Husband
## 4133 Married-civ-spouse Farming-fishing Husband
## 4134 Married-civ-spouse Craft-repair Husband
## 4135 Divorced Adm-clerical Unmarried
## 4136 Never-married Adm-clerical Unmarried
## 4137 Married-civ-spouse Exec-managerial Husband
## 4138 Married-civ-spouse Craft-repair Husband
## 4139 Never-married Adm-clerical Own-child
## 4140 Never-married Other-service Own-child
## 4141 Married-civ-spouse Protective-serv Husband
## 4142 Divorced Machine-op-inspct Not-in-family
## 4143 Never-married Adm-clerical Not-in-family
## 4144 Married-civ-spouse Exec-managerial Husband
## 4145 Divorced Craft-repair Unmarried
## 4146 Married-civ-spouse Prof-specialty Wife
## 4147 Married-civ-spouse Craft-repair Husband
## 4148 Married-civ-spouse ? Husband
## 4149 Married-civ-spouse Farming-fishing Husband
## 4150 Never-married Other-service Own-child
## 4151 Divorced Adm-clerical Not-in-family
## 4152 Divorced Prof-specialty Unmarried
## 4153 Never-married ? Own-child
## 4154 Never-married Sales Not-in-family
## 4155 Married-civ-spouse Prof-specialty Husband
## 4156 Never-married ? Other-relative
## 4157 Never-married Adm-clerical Own-child
## 4158 Divorced Handlers-cleaners Not-in-family
## 4159 Divorced Priv-house-serv Unmarried
## 4160 Married-civ-spouse Sales Husband
## 4161 Married-civ-spouse Craft-repair Own-child
## 4162 Married-civ-spouse Craft-repair Husband
## 4163 Married-civ-spouse Craft-repair Husband
## 4164 Married-spouse-absent Tech-support Unmarried
## 4165 Married-civ-spouse Other-service Wife
## 4166 Married-civ-spouse Exec-managerial Wife
## 4167 Never-married Other-service Own-child
## 4168 Married-civ-spouse Exec-managerial Husband
## 4169 Never-married Other-service Not-in-family
## 4170 Married-civ-spouse ? Wife
## 4171 Married-civ-spouse Sales Husband
## 4172 Divorced Other-service Unmarried
## 4173 Married-civ-spouse Tech-support Husband
## 4174 Never-married Farming-fishing Own-child
## 4175 Never-married ? Own-child
## 4176 Separated Other-service Not-in-family
## 4177 Married-civ-spouse Craft-repair Husband
## 4178 Married-civ-spouse Exec-managerial Husband
## 4179 Married-civ-spouse Adm-clerical Husband
## 4180 Never-married Prof-specialty Not-in-family
## 4181 Never-married Transport-moving Own-child
## 4182 Widowed Other-service Not-in-family
## 4183 Married-civ-spouse Sales Husband
## 4184 Never-married Craft-repair Not-in-family
## 4185 Never-married Prof-specialty Own-child
## 4186 Married-civ-spouse Adm-clerical Husband
## 4187 Married-civ-spouse Craft-repair Husband
## 4188 Divorced Machine-op-inspct Unmarried
## 4189 Married-civ-spouse Transport-moving Husband
## 4190 Married-civ-spouse Exec-managerial Husband
## 4191 Never-married Craft-repair Not-in-family
## 4192 Never-married Machine-op-inspct Not-in-family
## 4193 Married-civ-spouse Machine-op-inspct Husband
## 4194 Never-married Sales Own-child
## 4195 Never-married Craft-repair Own-child
## 4196 Never-married Craft-repair Not-in-family
## 4197 Married-civ-spouse Prof-specialty Husband
## 4198 Married-civ-spouse Protective-serv Husband
## 4199 Married-civ-spouse Machine-op-inspct Wife
## 4200 Never-married Other-service Not-in-family
## 4201 Never-married ? Own-child
## 4202 Married-civ-spouse Machine-op-inspct Husband
## 4203 Divorced Exec-managerial Not-in-family
## 4204 Separated Exec-managerial Not-in-family
## 4205 Never-married Farming-fishing Not-in-family
## 4206 Never-married Other-service Own-child
## 4207 Widowed Machine-op-inspct Not-in-family
## 4208 Divorced Sales Not-in-family
## 4209 Never-married Prof-specialty Not-in-family
## 4210 Never-married Tech-support Own-child
## 4211 Married-civ-spouse Prof-specialty Husband
## 4212 Married-civ-spouse Farming-fishing Husband
## 4213 Never-married ? Not-in-family
## 4214 Never-married Machine-op-inspct Own-child
## 4215 Divorced Craft-repair Not-in-family
## 4216 Never-married ? Not-in-family
## 4217 Never-married Sales Other-relative
## 4218 Never-married ? Own-child
## 4219 Never-married Sales Not-in-family
## 4220 Never-married Prof-specialty Not-in-family
## 4221 Never-married Adm-clerical Not-in-family
## 4222 Divorced Sales Unmarried
## 4223 Divorced Craft-repair Not-in-family
## 4224 Never-married Craft-repair Own-child
## 4225 Never-married Other-service Own-child
## 4226 Separated Adm-clerical Not-in-family
## 4227 Divorced Other-service Unmarried
## 4228 Never-married Other-service Not-in-family
## 4229 Divorced Adm-clerical Unmarried
## 4230 Married-civ-spouse Transport-moving Wife
## 4231 Married-civ-spouse Craft-repair Husband
## 4232 Divorced Exec-managerial Unmarried
## 4233 Married-civ-spouse Exec-managerial Husband
## 4234 Never-married Prof-specialty Not-in-family
## 4235 Widowed Exec-managerial Unmarried
## 4236 Never-married Prof-specialty Not-in-family
## 4237 Married-civ-spouse Prof-specialty Husband
## 4238 Never-married Transport-moving Own-child
## 4239 Married-civ-spouse Exec-managerial Husband
## 4240 Separated Sales Unmarried
## 4241 Never-married ? Not-in-family
## 4242 Never-married Prof-specialty Not-in-family
## 4243 Divorced Craft-repair Own-child
## 4244 Never-married Craft-repair Not-in-family
## 4245 Married-civ-spouse Sales Husband
## 4246 Never-married Craft-repair Not-in-family
## 4247 Married-civ-spouse Prof-specialty Wife
## 4248 Never-married Handlers-cleaners Own-child
## 4249 Never-married Other-service Not-in-family
## 4250 Married-civ-spouse Sales Husband
## 4251 Never-married Machine-op-inspct Own-child
## 4252 Divorced Tech-support Not-in-family
## 4253 Married-spouse-absent Craft-repair Not-in-family
## 4254 Divorced Adm-clerical Unmarried
## 4255 Never-married Handlers-cleaners Not-in-family
## 4256 Married-civ-spouse Tech-support Husband
## 4257 Married-civ-spouse Adm-clerical Other-relative
## 4258 Married-civ-spouse Craft-repair Husband
## 4259 Married-civ-spouse Transport-moving Husband
## 4260 Never-married Other-service Not-in-family
## 4261 Divorced Sales Not-in-family
## 4262 Never-married Other-service Not-in-family
## 4263 Never-married Adm-clerical Own-child
## 4264 Married-civ-spouse Farming-fishing Wife
## 4265 Married-civ-spouse Exec-managerial Husband
## 4266 Married-civ-spouse Exec-managerial Husband
## 4267 Married-civ-spouse Prof-specialty Husband
## 4268 Married-civ-spouse Craft-repair Husband
## 4269 Never-married Transport-moving Not-in-family
## 4270 Never-married Other-service Other-relative
## 4271 Divorced Adm-clerical Not-in-family
## 4272 Married-civ-spouse Exec-managerial Husband
## 4273 Never-married ? Own-child
## 4274 Widowed Other-service Unmarried
## 4275 Separated Prof-specialty Not-in-family
## 4276 Married-civ-spouse Handlers-cleaners Husband
## 4277 Never-married Sales Not-in-family
## 4278 Never-married Sales Own-child
## 4279 Separated Adm-clerical Unmarried
## 4280 Divorced Prof-specialty Unmarried
## 4281 Married-civ-spouse Handlers-cleaners Husband
## 4282 Widowed Other-service Unmarried
## 4283 Married-civ-spouse Sales Wife
## 4284 Married-civ-spouse Other-service Husband
## 4285 Never-married Machine-op-inspct Own-child
## 4286 Married-civ-spouse Machine-op-inspct Husband
## 4287 Never-married Adm-clerical Other-relative
## 4288 Married-civ-spouse Machine-op-inspct Husband
## 4289 Divorced ? Not-in-family
## 4290 Never-married Sales Not-in-family
## 4291 Married-civ-spouse Craft-repair Husband
## 4292 Married-civ-spouse Machine-op-inspct Husband
## 4293 Never-married Exec-managerial Unmarried
## 4294 Divorced Prof-specialty Not-in-family
## 4295 Never-married Prof-specialty Not-in-family
## 4296 Married-civ-spouse Sales Husband
## 4297 Never-married Other-service Own-child
## 4298 Married-civ-spouse Exec-managerial Husband
## 4299 Never-married Other-service Not-in-family
## 4300 Never-married ? Own-child
## 4301 Never-married Sales Not-in-family
## 4302 Never-married Farming-fishing Unmarried
## 4303 Married-civ-spouse Other-service Husband
## 4304 Married-civ-spouse Craft-repair Husband
## 4305 Married-civ-spouse Craft-repair Husband
## 4306 Never-married Adm-clerical Own-child
## 4307 Married-civ-spouse Tech-support Husband
## 4308 Married-civ-spouse Machine-op-inspct Husband
## 4309 Married-civ-spouse Farming-fishing Husband
## 4310 Widowed ? Not-in-family
## 4311 Never-married Tech-support Own-child
## 4312 Married-civ-spouse Sales Husband
## 4313 Married-civ-spouse Prof-specialty Husband
## 4314 Never-married Craft-repair Own-child
## 4315 Divorced Exec-managerial Not-in-family
## 4316 Married-civ-spouse ? Husband
## 4317 Widowed Craft-repair Not-in-family
## 4318 Separated Adm-clerical Unmarried
## 4319 Never-married Adm-clerical Not-in-family
## 4320 Married-civ-spouse Exec-managerial Husband
## 4321 Never-married Craft-repair Own-child
## 4322 Married-civ-spouse Adm-clerical Husband
## 4323 Divorced Exec-managerial Not-in-family
## 4324 Never-married Craft-repair Not-in-family
## 4325 Separated Prof-specialty Own-child
## 4326 Never-married Craft-repair Not-in-family
## 4327 Married-civ-spouse Transport-moving Husband
## 4328 Married-civ-spouse Exec-managerial Husband
## 4329 Never-married Handlers-cleaners Own-child
## 4330 Divorced Exec-managerial Not-in-family
## 4331 Married-civ-spouse Protective-serv Husband
## 4332 Married-civ-spouse Exec-managerial Husband
## 4333 Married-civ-spouse Prof-specialty Husband
## 4334 Never-married Exec-managerial Not-in-family
## 4335 Married-civ-spouse Sales Husband
## 4336 Married-civ-spouse Prof-specialty Husband
## 4337 Never-married Other-service Unmarried
## 4338 Never-married ? Own-child
## 4339 Married-civ-spouse Prof-specialty Husband
## 4340 Married-civ-spouse Prof-specialty Husband
## 4341 Married-spouse-absent Adm-clerical Own-child
## 4342 Married-civ-spouse Craft-repair Husband
## 4343 Never-married Sales Own-child
## 4344 Married-civ-spouse Prof-specialty Husband
## 4345 Married-civ-spouse Transport-moving Husband
## 4346 Married-civ-spouse Exec-managerial Husband
## 4347 Never-married Adm-clerical Unmarried
## 4348 Never-married Exec-managerial Unmarried
## 4349 Divorced Handlers-cleaners Not-in-family
## 4350 Married-civ-spouse Exec-managerial Husband
## 4351 Never-married Handlers-cleaners Own-child
## 4352 Married-civ-spouse Machine-op-inspct Husband
## 4353 Divorced Transport-moving Not-in-family
## 4354 Married-civ-spouse Prof-specialty Wife
## 4355 Married-civ-spouse Prof-specialty Husband
## 4356 Married-civ-spouse Craft-repair Husband
## 4357 Divorced Exec-managerial Unmarried
## 4358 Never-married Craft-repair Own-child
## 4359 Never-married Adm-clerical Not-in-family
## 4360 Never-married Prof-specialty Not-in-family
## 4361 Never-married Prof-specialty Own-child
## 4362 Married-civ-spouse Handlers-cleaners Husband
## 4363 Never-married Craft-repair Not-in-family
## 4364 Married-civ-spouse Transport-moving Husband
## 4365 Never-married Exec-managerial Unmarried
## 4366 Married-civ-spouse Sales Husband
## 4367 Married-civ-spouse Sales Husband
## 4368 Married-civ-spouse Machine-op-inspct Husband
## 4369 Married-civ-spouse Exec-managerial Wife
## 4370 Never-married ? Own-child
## 4371 Married-civ-spouse Machine-op-inspct Husband
## 4372 Married-civ-spouse Transport-moving Husband
## 4373 Never-married Exec-managerial Own-child
## 4374 Never-married Adm-clerical Own-child
## 4375 Married-civ-spouse Prof-specialty Husband
## 4376 Never-married Craft-repair Not-in-family
## 4377 Married-civ-spouse Exec-managerial Husband
## 4378 Married-civ-spouse Prof-specialty Husband
## 4379 Married-civ-spouse Machine-op-inspct Wife
## 4380 Never-married Sales Own-child
## 4381 Married-civ-spouse Exec-managerial Husband
## 4382 Married-spouse-absent Exec-managerial Not-in-family
## 4383 Divorced Machine-op-inspct Not-in-family
## 4384 Never-married Sales Other-relative
## 4385 Married-civ-spouse Machine-op-inspct Husband
## 4386 Married-civ-spouse Craft-repair Husband
## 4387 Separated Craft-repair Not-in-family
## 4388 Divorced Adm-clerical Not-in-family
## 4389 Married-civ-spouse Craft-repair Husband
## 4390 Married-civ-spouse Craft-repair Husband
## 4391 Married-civ-spouse Prof-specialty Wife
## 4392 Never-married Craft-repair Other-relative
## 4393 Married-civ-spouse Other-service Husband
## 4394 Never-married ? Own-child
## 4395 Never-married Prof-specialty Not-in-family
## 4396 Never-married Handlers-cleaners Other-relative
## 4397 Never-married Sales Not-in-family
## 4398 Never-married Prof-specialty Not-in-family
## 4399 Never-married Sales Own-child
## 4400 Never-married Exec-managerial Own-child
## 4401 Divorced Other-service Unmarried
## 4402 Married-civ-spouse Exec-managerial Wife
## 4403 Never-married Sales Own-child
## 4404 Married-civ-spouse Sales Husband
## 4405 Married-civ-spouse Craft-repair Husband
## 4406 Married-civ-spouse Exec-managerial Husband
## 4407 Never-married Adm-clerical Own-child
## 4408 Married-civ-spouse Sales Husband
## 4409 Married-civ-spouse Adm-clerical Husband
## 4410 Never-married ? Other-relative
## 4411 Married-civ-spouse Transport-moving Husband
## 4412 Married-civ-spouse Prof-specialty Husband
## 4413 Divorced Other-service Own-child
## 4414 Never-married ? Own-child
## 4415 Never-married Adm-clerical Not-in-family
## 4416 Divorced Craft-repair Not-in-family
## 4417 Never-married Adm-clerical Own-child
## 4418 Married-civ-spouse Adm-clerical Husband
## 4419 Widowed Exec-managerial Unmarried
## 4420 Never-married Other-service Other-relative
## 4421 Separated Machine-op-inspct Unmarried
## 4422 Married-civ-spouse Exec-managerial Husband
## 4423 Widowed ? Not-in-family
## 4424 Divorced Craft-repair Unmarried
## 4425 Divorced Sales Unmarried
## 4426 Married-civ-spouse Craft-repair Husband
## 4427 Married-civ-spouse Transport-moving Husband
## 4428 Never-married Other-service Not-in-family
## 4429 Married-civ-spouse Adm-clerical Husband
## 4430 Married-civ-spouse Handlers-cleaners Husband
## 4431 Married-civ-spouse Adm-clerical Wife
## 4432 Never-married Adm-clerical Not-in-family
## 4433 Divorced Exec-managerial Not-in-family
## 4434 Married-civ-spouse Prof-specialty Husband
## 4435 Never-married Tech-support Not-in-family
## 4436 Divorced ? Not-in-family
## 4437 Married-civ-spouse Exec-managerial Husband
## 4438 Never-married ? Not-in-family
## 4439 Married-civ-spouse Prof-specialty Husband
## 4440 Never-married Sales Not-in-family
## 4441 Married-civ-spouse Prof-specialty Husband
## 4442 Married-civ-spouse Prof-specialty Husband
## 4443 Never-married Exec-managerial Not-in-family
## 4444 Married-civ-spouse Sales Husband
## 4445 Never-married Machine-op-inspct Own-child
## 4446 Married-civ-spouse Exec-managerial Husband
## 4447 Separated Other-service Not-in-family
## 4448 Never-married Exec-managerial Own-child
## 4449 Divorced Adm-clerical Not-in-family
## 4450 Divorced Craft-repair Not-in-family
## 4451 Never-married Sales Not-in-family
## 4452 Never-married Craft-repair Not-in-family
## 4453 Never-married Adm-clerical Own-child
## 4454 Married-civ-spouse Adm-clerical Wife
## 4455 Never-married Sales Other-relative
## 4456 Married-civ-spouse Craft-repair Husband
## 4457 Married-civ-spouse Prof-specialty Husband
## 4458 Divorced Protective-serv Own-child
## 4459 Divorced Farming-fishing Unmarried
## 4460 Never-married Prof-specialty Not-in-family
## 4461 Divorced ? Unmarried
## 4462 Never-married Other-service Own-child
## 4463 Married-civ-spouse Sales Husband
## 4464 Widowed Adm-clerical Unmarried
## 4465 Never-married ? Not-in-family
## 4466 Married-civ-spouse Exec-managerial Husband
## 4467 Married-civ-spouse Prof-specialty Wife
## 4468 Married-civ-spouse Sales Husband
## 4469 Never-married Machine-op-inspct Own-child
## 4470 Never-married Sales Own-child
## 4471 Married-civ-spouse Transport-moving Husband
## 4472 Married-civ-spouse Adm-clerical Husband
## 4473 Married-civ-spouse Adm-clerical Wife
## 4474 Married-civ-spouse Transport-moving Husband
## 4475 Married-civ-spouse Prof-specialty Husband
## 4476 Married-civ-spouse Prof-specialty Husband
## 4477 Never-married Craft-repair Not-in-family
## 4478 Married-civ-spouse Other-service Husband
## 4479 Divorced Exec-managerial Unmarried
## 4480 Never-married Prof-specialty Not-in-family
## 4481 Married-civ-spouse Sales Husband
## 4482 Never-married Prof-specialty Not-in-family
## 4483 Never-married Exec-managerial Unmarried
## 4484 Never-married Sales Not-in-family
## 4485 Widowed Adm-clerical Unmarried
## 4486 Married-spouse-absent Adm-clerical Unmarried
## 4487 Married-civ-spouse Craft-repair Husband
## 4488 Never-married Other-service Own-child
## 4489 Never-married Prof-specialty Not-in-family
## 4490 Separated Other-service Not-in-family
## 4491 Never-married Sales Not-in-family
## 4492 Married-civ-spouse Sales Husband
## 4493 Married-civ-spouse Prof-specialty Wife
## 4494 Divorced Sales Own-child
## 4495 Married-civ-spouse Craft-repair Husband
## 4496 Married-civ-spouse Exec-managerial Husband
## 4497 Married-civ-spouse Farming-fishing Husband
## 4498 Married-civ-spouse Craft-repair Husband
## 4499 Divorced Other-service Unmarried
## 4500 Never-married ? Own-child
## 4501 Separated ? Not-in-family
## 4502 Never-married Handlers-cleaners Not-in-family
## 4503 Married-civ-spouse Exec-managerial Husband
## 4504 Never-married Prof-specialty Not-in-family
## 4505 Divorced Prof-specialty Unmarried
## 4506 Never-married Transport-moving Not-in-family
## 4507 Never-married Handlers-cleaners Own-child
## 4508 Married-civ-spouse Machine-op-inspct Husband
## 4509 Never-married Handlers-cleaners Not-in-family
## 4510 Never-married Machine-op-inspct Own-child
## 4511 Divorced Other-service Unmarried
## 4512 Never-married Exec-managerial Not-in-family
## 4513 Married-civ-spouse Craft-repair Other-relative
## 4514 Never-married Other-service Own-child
## 4515 Divorced Exec-managerial Other-relative
## 4516 Never-married Adm-clerical Own-child
## 4517 Never-married Adm-clerical Not-in-family
## 4518 Married-civ-spouse Sales Husband
## 4519 Married-civ-spouse Transport-moving Husband
## 4520 Never-married ? Not-in-family
## 4521 Married-civ-spouse Other-service Husband
## 4522 Married-civ-spouse Handlers-cleaners Husband
## 4523 Never-married Adm-clerical Not-in-family
## 4524 Married-civ-spouse Prof-specialty Husband
## 4525 Married-civ-spouse Craft-repair Husband
## 4526 Never-married Exec-managerial Not-in-family
## 4527 Married-civ-spouse Machine-op-inspct Wife
## 4528 Never-married Other-service Not-in-family
## 4529 Divorced Other-service Unmarried
## 4530 Married-civ-spouse Adm-clerical Husband
## 4531 Divorced Exec-managerial Not-in-family
## 4532 Never-married ? Own-child
## 4533 Divorced Handlers-cleaners Own-child
## 4534 Never-married Machine-op-inspct Own-child
## 4535 Never-married Handlers-cleaners Own-child
## 4536 Married-civ-spouse Sales Husband
## 4537 Never-married Prof-specialty Not-in-family
## 4538 Married-civ-spouse Prof-specialty Husband
## 4539 Never-married Sales Own-child
## 4540 Married-civ-spouse Prof-specialty Husband
## 4541 Married-civ-spouse Adm-clerical Wife
## 4542 Divorced Adm-clerical Other-relative
## 4543 Married-civ-spouse Farming-fishing Husband
## 4544 Married-civ-spouse Farming-fishing Husband
## 4545 Never-married Craft-repair Not-in-family
## 4546 Married-civ-spouse Exec-managerial Wife
## 4547 Married-civ-spouse Prof-specialty Husband
## 4548 Married-civ-spouse Craft-repair Husband
## 4549 Divorced ? Not-in-family
## 4550 Married-civ-spouse Exec-managerial Husband
## 4551 Married-civ-spouse Machine-op-inspct Husband
## 4552 Never-married Prof-specialty Not-in-family
## 4553 Married-civ-spouse Craft-repair Husband
## 4554 Never-married ? Own-child
## 4555 Never-married Other-service Own-child
## 4556 Married-civ-spouse Handlers-cleaners Husband
## 4557 Never-married Adm-clerical Unmarried
## 4558 Never-married Sales Not-in-family
## 4559 Married-civ-spouse Transport-moving Husband
## 4560 Married-civ-spouse Exec-managerial Husband
## 4561 Never-married Machine-op-inspct Not-in-family
## 4562 Married-civ-spouse Other-service Husband
## 4563 Never-married Other-service Unmarried
## 4564 Never-married Sales Not-in-family
## 4565 Divorced Adm-clerical Not-in-family
## 4566 Married-civ-spouse Craft-repair Husband
## 4567 Married-civ-spouse Sales Husband
## 4568 Married-civ-spouse Prof-specialty Husband
## 4569 Never-married Protective-serv Own-child
## 4570 Divorced Adm-clerical Unmarried
## 4571 Widowed Adm-clerical Not-in-family
## 4572 Married-civ-spouse Exec-managerial Husband
## 4573 Never-married Handlers-cleaners Not-in-family
## 4574 Never-married Adm-clerical Unmarried
## 4575 Never-married Farming-fishing Not-in-family
## 4576 Married-civ-spouse Prof-specialty Wife
## 4577 Married-civ-spouse Machine-op-inspct Wife
## 4578 Married-civ-spouse Protective-serv Husband
## 4579 Divorced Other-service Not-in-family
## 4580 Divorced Prof-specialty Unmarried
## 4581 Never-married Other-service Own-child
## 4582 Divorced Transport-moving Unmarried
## 4583 Never-married Adm-clerical Not-in-family
## 4584 Divorced Sales Unmarried
## 4585 Married-civ-spouse Sales Husband
## 4586 Never-married Other-service Not-in-family
## 4587 Never-married Adm-clerical Not-in-family
## 4588 Separated Adm-clerical Not-in-family
## 4589 Married-civ-spouse Other-service Wife
## 4590 Never-married Machine-op-inspct Not-in-family
## 4591 Married-civ-spouse Sales Husband
## 4592 Separated Craft-repair Own-child
## 4593 Married-civ-spouse ? Wife
## 4594 Married-civ-spouse Exec-managerial Husband
## 4595 Never-married Other-service Own-child
## 4596 Married-civ-spouse Sales Husband
## 4597 Never-married Craft-repair Not-in-family
## 4598 Married-civ-spouse Exec-managerial Husband
## 4599 Married-spouse-absent Prof-specialty Not-in-family
## 4600 Married-civ-spouse Machine-op-inspct Husband
## 4601 Married-civ-spouse Craft-repair Husband
## 4602 Separated Other-service Unmarried
## 4603 Separated Transport-moving Unmarried
## 4604 Married-civ-spouse Craft-repair Husband
## 4605 Separated Adm-clerical Unmarried
## 4606 Never-married Sales Own-child
## 4607 Married-civ-spouse ? Wife
## 4608 Never-married ? Unmarried
## 4609 Divorced Exec-managerial Not-in-family
## 4610 Married-civ-spouse Other-service Wife
## 4611 Married-civ-spouse Craft-repair Husband
## 4612 Married-civ-spouse Sales Husband
## 4613 Married-civ-spouse Prof-specialty Husband
## 4614 Married-civ-spouse ? Husband
## 4615 Married-civ-spouse Farming-fishing Husband
## 4616 Never-married Transport-moving Own-child
## 4617 Divorced Adm-clerical Not-in-family
## 4618 Never-married Prof-specialty Other-relative
## 4619 Married-civ-spouse Exec-managerial Husband
## 4620 Divorced Protective-serv Other-relative
## 4621 Never-married Exec-managerial Not-in-family
## 4622 Never-married ? Own-child
## 4623 Married-civ-spouse Exec-managerial Husband
## 4624 Never-married Other-service Own-child
## 4625 Never-married Sales Unmarried
## 4626 Married-civ-spouse Prof-specialty Husband
## 4627 Separated Handlers-cleaners Own-child
## 4628 Married-civ-spouse ? Husband
## 4629 Never-married Craft-repair Not-in-family
## 4630 Married-civ-spouse Adm-clerical Wife
## 4631 Married-civ-spouse Craft-repair Husband
## 4632 Never-married Adm-clerical Own-child
## 4633 Married-civ-spouse Transport-moving Husband
## 4634 Married-spouse-absent Other-service Unmarried
## 4635 Married-civ-spouse Tech-support Husband
## 4636 Never-married Prof-specialty Own-child
## 4637 Married-civ-spouse Craft-repair Husband
## 4638 Married-civ-spouse Craft-repair Husband
## 4639 Divorced Other-service Not-in-family
## 4640 Never-married Prof-specialty Not-in-family
## 4641 Never-married Craft-repair Own-child
## 4642 Married-civ-spouse Exec-managerial Husband
## 4643 Never-married Other-service Other-relative
## 4644 Widowed Other-service Unmarried
## 4645 Married-civ-spouse Other-service Husband
## 4646 Married-civ-spouse Adm-clerical Husband
## 4647 Married-civ-spouse Transport-moving Husband
## 4648 Never-married Handlers-cleaners Not-in-family
## 4649 Never-married Sales Not-in-family
## 4650 Separated Sales Unmarried
## 4651 Never-married Sales Own-child
## 4652 Married-civ-spouse Exec-managerial Husband
## 4653 Divorced Prof-specialty Unmarried
## 4654 Married-civ-spouse Craft-repair Husband
## 4655 Married-civ-spouse Handlers-cleaners Husband
## 4656 Never-married ? Not-in-family
## 4657 Married-civ-spouse Prof-specialty Wife
## 4658 Married-civ-spouse Exec-managerial Husband
## 4659 Never-married Other-service Own-child
## 4660 Married-civ-spouse Transport-moving Husband
## 4661 Never-married Other-service Not-in-family
## 4662 Married-civ-spouse Sales Husband
## 4663 Married-civ-spouse Prof-specialty Husband
## 4664 Married-civ-spouse Craft-repair Wife
## 4665 Never-married Handlers-cleaners Own-child
## 4666 Divorced Other-service Unmarried
## 4667 Married-civ-spouse Prof-specialty Husband
## 4668 Never-married Farming-fishing Own-child
## 4669 Married-civ-spouse Exec-managerial Husband
## 4670 Married-civ-spouse Prof-specialty Husband
## 4671 Married-civ-spouse Craft-repair Husband
## 4672 Married-civ-spouse Sales Husband
## 4673 Never-married Sales Not-in-family
## 4674 Married-civ-spouse Craft-repair Husband
## 4675 Married-civ-spouse Exec-managerial Husband
## 4676 Married-civ-spouse Tech-support Husband
## 4677 Never-married Sales Own-child
## 4678 Married-civ-spouse Craft-repair Husband
## 4679 Never-married Prof-specialty Not-in-family
## 4680 Never-married Exec-managerial Other-relative
## 4681 Married-civ-spouse Exec-managerial Husband
## 4682 Married-civ-spouse Exec-managerial Husband
## 4683 Married-civ-spouse Prof-specialty Husband
## 4684 Never-married Transport-moving Not-in-family
## 4685 Never-married Adm-clerical Not-in-family
## 4686 Married-civ-spouse ? Wife
## 4687 Never-married Prof-specialty Own-child
## 4688 Separated Machine-op-inspct Unmarried
## 4689 Never-married ? Own-child
## 4690 Married-civ-spouse Craft-repair Husband
## 4691 Never-married Tech-support Own-child
## 4692 Married-civ-spouse Adm-clerical Husband
## 4693 Divorced Tech-support Not-in-family
## 4694 Never-married Tech-support Own-child
## 4695 Married-civ-spouse Craft-repair Husband
## 4696 Married-civ-spouse Other-service Husband
## 4697 Married-civ-spouse Sales Husband
## 4698 Never-married Other-service Other-relative
## 4699 Married-spouse-absent Craft-repair Not-in-family
## 4700 Married-civ-spouse Craft-repair Husband
## 4701 Never-married Craft-repair Other-relative
## 4702 Never-married Handlers-cleaners Not-in-family
## 4703 Never-married Sales Own-child
## 4704 Divorced Handlers-cleaners Not-in-family
## 4705 Married-civ-spouse Transport-moving Wife
## 4706 Divorced Machine-op-inspct Unmarried
## 4707 Married-civ-spouse Farming-fishing Husband
## 4708 Married-civ-spouse Craft-repair Husband
## 4709 Never-married Other-service Own-child
## 4710 Married-civ-spouse Prof-specialty Husband
## 4711 Divorced Craft-repair Not-in-family
## 4712 Married-civ-spouse Protective-serv Husband
## 4713 Never-married Adm-clerical Own-child
## 4714 Divorced Craft-repair Unmarried
## 4715 Never-married Handlers-cleaners Own-child
## 4716 Never-married Adm-clerical Not-in-family
## 4717 Never-married Other-service Unmarried
## 4718 Married-civ-spouse Craft-repair Husband
## 4719 Widowed Other-service Unmarried
## 4720 Divorced Exec-managerial Not-in-family
## 4721 Widowed Other-service Not-in-family
## 4722 Married-civ-spouse ? Husband
## 4723 Never-married Sales Own-child
## 4724 Married-civ-spouse Craft-repair Husband
## 4725 Married-civ-spouse Sales Husband
## 4726 Never-married Craft-repair Other-relative
## 4727 Married-civ-spouse Transport-moving Husband
## 4728 Married-civ-spouse Prof-specialty Husband
## 4729 Never-married Prof-specialty Own-child
## 4730 Widowed ? Not-in-family
## 4731 Divorced Other-service Unmarried
## 4732 Divorced Craft-repair Other-relative
## 4733 Never-married Farming-fishing Unmarried
## 4734 Never-married Adm-clerical Unmarried
## 4735 Never-married Other-service Other-relative
## 4736 Never-married Sales Not-in-family
## 4737 Married-civ-spouse Exec-managerial Husband
## 4738 Never-married Machine-op-inspct Own-child
## 4739 Never-married Transport-moving Not-in-family
## 4740 Never-married Exec-managerial Not-in-family
## 4741 Never-married Prof-specialty Not-in-family
## 4742 Never-married Prof-specialty Not-in-family
## 4743 Married-civ-spouse Prof-specialty Husband
## 4744 Married-civ-spouse Sales Husband
## 4745 Never-married Exec-managerial Not-in-family
## 4746 Widowed ? Unmarried
## 4747 Never-married Sales Not-in-family
## 4748 Married-civ-spouse Prof-specialty Husband
## 4749 Divorced Exec-managerial Unmarried
## 4750 Divorced Prof-specialty Not-in-family
## 4751 Married-civ-spouse Sales Husband
## 4752 Married-civ-spouse Prof-specialty Husband
## 4753 Married-civ-spouse ? Husband
## 4754 Married-civ-spouse Craft-repair Husband
## 4755 Divorced Exec-managerial Unmarried
## 4756 Married-civ-spouse ? Husband
## 4757 Married-civ-spouse Craft-repair Husband
## 4758 Married-civ-spouse Machine-op-inspct Husband
## 4759 Never-married Craft-repair Unmarried
## 4760 Widowed Sales Unmarried
## 4761 Divorced Sales Not-in-family
## 4762 Married-civ-spouse Prof-specialty Husband
## 4763 Never-married Adm-clerical Not-in-family
## 4764 Divorced Protective-serv Not-in-family
## 4765 Divorced Prof-specialty Not-in-family
## 4766 Married-civ-spouse Machine-op-inspct Husband
## 4767 Married-civ-spouse ? Husband
## 4768 Never-married Prof-specialty Own-child
## 4769 Married-civ-spouse Tech-support Husband
## 4770 Never-married Craft-repair Not-in-family
## 4771 Never-married Other-service Own-child
## 4772 Married-civ-spouse Other-service Husband
## 4773 Divorced Other-service Other-relative
## 4774 Never-married Farming-fishing Own-child
## 4775 Never-married Tech-support Not-in-family
## 4776 Never-married Craft-repair Own-child
## 4777 Married-civ-spouse Prof-specialty Husband
## 4778 Never-married Sales Not-in-family
## 4779 Divorced ? Own-child
## 4780 Never-married Sales Own-child
## 4781 Married-civ-spouse Exec-managerial Husband
## 4782 Separated Craft-repair Own-child
## 4783 Married-civ-spouse ? Husband
## 4784 Never-married Handlers-cleaners Own-child
## 4785 Married-civ-spouse Exec-managerial Husband
## 4786 Never-married Craft-repair Other-relative
## 4787 Never-married Transport-moving Own-child
## 4788 Married-civ-spouse Machine-op-inspct Husband
## 4789 Married-civ-spouse Prof-specialty Husband
## 4790 Married-civ-spouse Other-service Husband
## 4791 Married-civ-spouse Prof-specialty Husband
## 4792 Divorced Adm-clerical Unmarried
## 4793 Married-civ-spouse Machine-op-inspct Husband
## 4794 Married-civ-spouse Handlers-cleaners Husband
## 4795 Married-civ-spouse Machine-op-inspct Husband
## 4796 Married-civ-spouse Exec-managerial Husband
## 4797 Never-married Adm-clerical Own-child
## 4798 Married-civ-spouse Sales Husband
## 4799 Never-married Transport-moving Not-in-family
## 4800 Never-married Adm-clerical Not-in-family
## 4801 Married-civ-spouse Transport-moving Husband
## 4802 Never-married ? Not-in-family
## 4803 Married-civ-spouse Machine-op-inspct Husband
## 4804 Never-married Other-service Not-in-family
## 4805 Married-civ-spouse Farming-fishing Husband
## 4806 Never-married Prof-specialty Not-in-family
## 4807 Divorced Transport-moving Not-in-family
## 4808 Divorced Sales Unmarried
## 4809 Married-civ-spouse Adm-clerical Husband
## 4810 Never-married Tech-support Own-child
## 4811 Divorced Sales Not-in-family
## 4812 Never-married Prof-specialty Not-in-family
## 4813 Divorced ? Not-in-family
## 4814 Married-civ-spouse Machine-op-inspct Husband
## 4815 Never-married Adm-clerical Own-child
## 4816 Married-civ-spouse Adm-clerical Wife
## 4817 Married-civ-spouse Exec-managerial Husband
## 4818 Never-married Exec-managerial Not-in-family
## 4819 Never-married ? Own-child
## 4820 Divorced Adm-clerical Unmarried
## 4821 Married-civ-spouse Machine-op-inspct Husband
## 4822 Divorced Sales Unmarried
## 4823 Never-married Prof-specialty Not-in-family
## 4824 Married-civ-spouse Craft-repair Husband
## 4825 Divorced Other-service Unmarried
## 4826 Married-civ-spouse Adm-clerical Husband
## 4827 Never-married Adm-clerical Unmarried
## 4828 Married-civ-spouse Craft-repair Husband
## 4829 Divorced Other-service Not-in-family
## 4830 Divorced Other-service Unmarried
## 4831 Married-spouse-absent Craft-repair Other-relative
## 4832 Widowed Adm-clerical Not-in-family
## 4833 Married-civ-spouse Craft-repair Husband
## 4834 Married-civ-spouse Sales Husband
## 4835 Divorced Adm-clerical Not-in-family
## 4836 Never-married ? Unmarried
## 4837 Divorced Prof-specialty Not-in-family
## 4838 Never-married Adm-clerical Not-in-family
## 4839 Married-civ-spouse ? Husband
## 4840 Never-married Tech-support Unmarried
## 4841 Never-married Other-service Unmarried
## 4842 Divorced Adm-clerical Other-relative
## 4843 Separated Sales Not-in-family
## 4844 Married-civ-spouse Craft-repair Husband
## 4845 Never-married Handlers-cleaners Unmarried
## 4846 Married-civ-spouse Adm-clerical Husband
## 4847 Married-civ-spouse Craft-repair Husband
## 4848 Married-civ-spouse Exec-managerial Husband
## 4849 Separated Exec-managerial Not-in-family
## 4850 Married-civ-spouse Farming-fishing Husband
## 4851 Married-civ-spouse Craft-repair Husband
## 4852 Married-civ-spouse Exec-managerial Husband
## 4853 Married-civ-spouse Protective-serv Husband
## 4854 Never-married Handlers-cleaners Own-child
## 4855 Never-married Tech-support Not-in-family
## 4856 Never-married Adm-clerical Own-child
## 4857 Never-married Sales Not-in-family
## 4858 Married-civ-spouse Exec-managerial Husband
## 4859 Married-civ-spouse Transport-moving Husband
## 4860 Never-married Farming-fishing Other-relative
## 4861 Separated Prof-specialty Unmarried
## 4862 Never-married Machine-op-inspct Other-relative
## 4863 Married-civ-spouse Transport-moving Husband
## 4864 Married-civ-spouse Exec-managerial Husband
## 4865 Never-married Craft-repair Own-child
## 4866 Married-civ-spouse Protective-serv Husband
## 4867 Never-married Craft-repair Own-child
## 4868 Married-civ-spouse Machine-op-inspct Husband
## 4869 Never-married Sales Other-relative
## 4870 Divorced Other-service Not-in-family
## 4871 Married-civ-spouse Prof-specialty Husband
## 4872 Never-married Adm-clerical Own-child
## 4873 Married-civ-spouse Prof-specialty Husband
## 4874 Married-civ-spouse Sales Husband
## 4875 Married-civ-spouse Adm-clerical Wife
## 4876 Married-civ-spouse Exec-managerial Husband
## 4877 Never-married Prof-specialty Own-child
## 4878 Divorced Adm-clerical Unmarried
## 4879 Married-civ-spouse Exec-managerial Wife
## 4880 Divorced Prof-specialty Not-in-family
## 4881 Never-married Transport-moving Not-in-family
## 4882 Never-married Craft-repair Not-in-family
## 4883 Married-civ-spouse Craft-repair Husband
## 4884 Never-married Sales Not-in-family
## 4885 Never-married ? Unmarried
## 4886 Married-civ-spouse Exec-managerial Husband
## 4887 Separated Exec-managerial Unmarried
## 4888 Never-married Adm-clerical Unmarried
## 4889 Married-civ-spouse Exec-managerial Husband
## 4890 Married-civ-spouse Craft-repair Husband
## 4891 Married-civ-spouse Farming-fishing Husband
## 4892 Never-married Other-service Not-in-family
## 4893 Never-married Other-service Own-child
## 4894 Never-married Tech-support Not-in-family
## 4895 Married-civ-spouse Exec-managerial Husband
## 4896 Never-married Farming-fishing Not-in-family
## 4897 Never-married Sales Not-in-family
## 4898 Married-civ-spouse Prof-specialty Husband
## 4899 Married-civ-spouse Prof-specialty Husband
## 4900 Never-married Prof-specialty Not-in-family
## 4901 Married-civ-spouse Craft-repair Husband
## 4902 Never-married Exec-managerial Not-in-family
## 4903 Married-civ-spouse Craft-repair Husband
## 4904 Married-civ-spouse Craft-repair Husband
## 4905 Never-married Other-service Own-child
## 4906 Married-civ-spouse Exec-managerial Wife
## 4907 Widowed Prof-specialty Not-in-family
## 4908 Never-married Adm-clerical Not-in-family
## 4909 Married-civ-spouse Craft-repair Husband
## 4910 Widowed Prof-specialty Unmarried
## 4911 Married-civ-spouse Machine-op-inspct Husband
## 4912 Never-married Adm-clerical Own-child
## 4913 Never-married Adm-clerical Own-child
## 4914 Never-married Handlers-cleaners Other-relative
## 4915 Married-civ-spouse Craft-repair Husband
## 4916 Never-married Exec-managerial Own-child
## 4917 Married-civ-spouse Other-service Husband
## 4918 Never-married Prof-specialty Not-in-family
## 4919 Married-civ-spouse Exec-managerial Husband
## 4920 Never-married Adm-clerical Other-relative
## 4921 Married-civ-spouse Adm-clerical Wife
## 4922 Married-civ-spouse Exec-managerial Husband
## 4923 Never-married Adm-clerical Not-in-family
## 4924 Married-civ-spouse Sales Husband
## 4925 Divorced Exec-managerial Unmarried
## 4926 Never-married ? Not-in-family
## 4927 Separated Tech-support Unmarried
## 4928 Married-spouse-absent Adm-clerical Own-child
## 4929 Divorced Prof-specialty Not-in-family
## 4930 Divorced Transport-moving Unmarried
## 4931 Never-married Other-service Own-child
## 4932 Never-married Other-service Own-child
## 4933 Divorced Craft-repair Own-child
## 4934 Separated Other-service Unmarried
## 4935 Married-civ-spouse Handlers-cleaners Husband
## 4936 Married-civ-spouse Adm-clerical Husband
## 4937 Widowed Adm-clerical Not-in-family
## 4938 Never-married Adm-clerical Own-child
## 4939 Married-civ-spouse Adm-clerical Wife
## 4940 Married-civ-spouse Adm-clerical Own-child
## 4941 Married-civ-spouse Machine-op-inspct Husband
## 4942 Married-civ-spouse Craft-repair Husband
## 4943 Never-married ? Own-child
## 4944 Married-civ-spouse Exec-managerial Husband
## 4945 Married-civ-spouse Sales Husband
## 4946 Married-civ-spouse Prof-specialty Husband
## 4947 Never-married Sales Not-in-family
## 4948 Married-civ-spouse Machine-op-inspct Husband
## 4949 Divorced Prof-specialty Not-in-family
## 4950 Married-civ-spouse Sales Husband
## 4951 Married-civ-spouse Exec-managerial Husband
## 4952 Married-civ-spouse Sales Husband
## 4953 Married-civ-spouse Exec-managerial Husband
## 4954 Married-civ-spouse Adm-clerical Husband
## 4955 Divorced Sales Not-in-family
## 4956 Married-civ-spouse Other-service Husband
## 4957 Widowed Exec-managerial Unmarried
## 4958 Separated Other-service Own-child
## 4959 Never-married ? Own-child
## 4960 Widowed Adm-clerical Not-in-family
## 4961 Never-married Prof-specialty Own-child
## 4962 Married-civ-spouse Exec-managerial Wife
## 4963 Never-married Craft-repair Own-child
## 4964 Never-married Prof-specialty Not-in-family
## 4965 Married-civ-spouse Transport-moving Husband
## 4966 Never-married Prof-specialty Not-in-family
## 4967 Never-married Machine-op-inspct Own-child
## 4968 Married-civ-spouse Exec-managerial Wife
## 4969 Never-married Exec-managerial Other-relative
## 4970 Never-married Prof-specialty Own-child
## 4971 Married-civ-spouse ? Husband
## 4972 Married-civ-spouse Transport-moving Husband
## 4973 Married-civ-spouse Prof-specialty Husband
## 4974 Married-civ-spouse Farming-fishing Husband
## 4975 Married-civ-spouse Prof-specialty Husband
## 4976 Married-civ-spouse Adm-clerical Husband
## 4977 Married-civ-spouse Craft-repair Husband
## 4978 Married-civ-spouse Craft-repair Husband
## 4979 Divorced Sales Not-in-family
## 4980 Married-spouse-absent Handlers-cleaners Not-in-family
## 4981 Separated ? Own-child
## 4982 Never-married Adm-clerical Not-in-family
## 4983 Never-married ? Own-child
## 4984 Married-civ-spouse Prof-specialty Husband
## 4985 Never-married Craft-repair Own-child
## 4986 Never-married Handlers-cleaners Unmarried
## 4987 Never-married Other-service Own-child
## 4988 Married-civ-spouse Prof-specialty Husband
## 4989 Married-civ-spouse Exec-managerial Husband
## 4990 Separated Exec-managerial Unmarried
## 4991 Divorced Sales Not-in-family
## 4992 Married-civ-spouse Transport-moving Husband
## 4993 Married-civ-spouse Handlers-cleaners Husband
## 4994 Never-married Exec-managerial Not-in-family
## 4995 Married-civ-spouse Exec-managerial Husband
## 4996 Never-married Machine-op-inspct Unmarried
## 4997 Married-civ-spouse Craft-repair Husband
## 4998 Married-civ-spouse Craft-repair Husband
## 4999 Never-married Adm-clerical Not-in-family
## 5000 Never-married Prof-specialty Not-in-family
## 5001 Divorced Prof-specialty Not-in-family
## 5002 Never-married Tech-support Other-relative
## 5003 Married-civ-spouse Exec-managerial Wife
## 5004 Never-married Machine-op-inspct Unmarried
## 5005 Married-civ-spouse Craft-repair Husband
## 5006 Married-civ-spouse Sales Husband
## 5007 Never-married Other-service Not-in-family
## 5008 Married-civ-spouse Sales Husband
## 5009 Married-civ-spouse Transport-moving Husband
## 5010 Married-civ-spouse Protective-serv Husband
## 5011 Never-married Tech-support Not-in-family
## 5012 Never-married Transport-moving Not-in-family
## 5013 Never-married Prof-specialty Not-in-family
## 5014 Married-civ-spouse Prof-specialty Husband
## 5015 Divorced Transport-moving Not-in-family
## 5016 Married-civ-spouse Machine-op-inspct Husband
## 5017 Divorced Prof-specialty Unmarried
## 5018 Divorced Adm-clerical Own-child
## 5019 Never-married Exec-managerial Not-in-family
## 5020 Never-married Handlers-cleaners Not-in-family
## 5021 Never-married ? Own-child
## 5022 Married-civ-spouse Craft-repair Husband
## 5023 Married-civ-spouse Transport-moving Husband
## 5024 Never-married Adm-clerical Not-in-family
## 5025 Married-civ-spouse Adm-clerical Husband
## 5026 Married-civ-spouse Sales Husband
## 5027 Married-civ-spouse Prof-specialty Husband
## 5028 Married-civ-spouse Exec-managerial Wife
## 5029 Married-civ-spouse Farming-fishing Husband
## 5030 Never-married Sales Own-child
## 5031 Never-married Other-service Own-child
## 5032 Married-civ-spouse Sales Husband
## 5033 Never-married Handlers-cleaners Not-in-family
## 5034 Married-civ-spouse Prof-specialty Husband
## 5035 Married-civ-spouse Farming-fishing Husband
## 5036 Married-civ-spouse Priv-house-serv Wife
## 5037 Married-civ-spouse Adm-clerical Wife
## 5038 Married-civ-spouse Exec-managerial Husband
## 5039 Married-civ-spouse Machine-op-inspct Husband
## 5040 Married-civ-spouse Craft-repair Husband
## 5041 Never-married Protective-serv Not-in-family
## 5042 Married-civ-spouse Craft-repair Husband
## 5043 Divorced Adm-clerical Not-in-family
## 5044 Divorced Prof-specialty Not-in-family
## 5045 Married-civ-spouse Exec-managerial Husband
## 5046 Married-civ-spouse Prof-specialty Husband
## 5047 Married-civ-spouse Craft-repair Husband
## 5048 Never-married Transport-moving Not-in-family
## 5049 Separated Farming-fishing Not-in-family
## 5050 Married-civ-spouse Prof-specialty Husband
## 5051 Married-civ-spouse Exec-managerial Husband
## 5052 Married-civ-spouse Sales Husband
## 5053 Separated Sales Not-in-family
## 5054 Married-civ-spouse Prof-specialty Husband
## 5055 Never-married Craft-repair Own-child
## 5056 Never-married Other-service Own-child
## 5057 Married-civ-spouse Machine-op-inspct Husband
## 5058 Married-civ-spouse Other-service Husband
## 5059 Married-civ-spouse Exec-managerial Husband
## 5060 Divorced Adm-clerical Not-in-family
## 5061 Married-civ-spouse Transport-moving Husband
## 5062 Never-married Craft-repair Own-child
## 5063 Married-civ-spouse Craft-repair Husband
## 5064 Married-civ-spouse Craft-repair Husband
## 5065 Never-married ? Own-child
## 5066 Married-spouse-absent Craft-repair Not-in-family
## 5067 Married-civ-spouse Exec-managerial Husband
## 5068 Married-civ-spouse Handlers-cleaners Own-child
## 5069 Never-married Craft-repair Not-in-family
## 5070 Never-married Prof-specialty Not-in-family
## 5071 Never-married Prof-specialty Own-child
## 5072 Married-civ-spouse Farming-fishing Husband
## 5073 Married-civ-spouse Sales Husband
## 5074 Married-civ-spouse Prof-specialty Husband
## 5075 Married-civ-spouse Sales Husband
## 5076 Married-civ-spouse Sales Wife
## 5077 Never-married Other-service Own-child
## 5078 Divorced Other-service Not-in-family
## 5079 Married-civ-spouse Craft-repair Husband
## 5080 Married-civ-spouse Machine-op-inspct Husband
## 5081 Separated Sales Unmarried
## 5082 Never-married Transport-moving Other-relative
## 5083 Divorced Protective-serv Not-in-family
## 5084 Never-married Adm-clerical Not-in-family
## 5085 Never-married Sales Not-in-family
## 5086 Married-civ-spouse Farming-fishing Husband
## 5087 Married-civ-spouse Craft-repair Husband
## 5088 Never-married Craft-repair Own-child
## 5089 Married-civ-spouse Craft-repair Husband
## 5090 Married-civ-spouse Sales Husband
## 5091 Never-married Other-service Own-child
## 5092 Divorced Exec-managerial Unmarried
## 5093 Divorced Craft-repair Own-child
## 5094 Married-civ-spouse Machine-op-inspct Husband
## 5095 Divorced Machine-op-inspct Not-in-family
## 5096 Married-civ-spouse Adm-clerical Wife
## 5097 Widowed Other-service Unmarried
## 5098 Married-civ-spouse Sales Husband
## 5099 Married-civ-spouse Prof-specialty Husband
## 5100 Married-civ-spouse Protective-serv Husband
## 5101 Married-civ-spouse Farming-fishing Husband
## 5102 Married-civ-spouse Exec-managerial Husband
## 5103 Married-civ-spouse Other-service Husband
## 5104 Married-civ-spouse Sales Husband
## 5105 Never-married Other-service Not-in-family
## 5106 Married-spouse-absent Craft-repair Not-in-family
## 5107 Married-civ-spouse Exec-managerial Husband
## 5108 Never-married Craft-repair Own-child
## 5109 Married-civ-spouse Sales Husband
## 5110 Married-spouse-absent Other-service Not-in-family
## 5111 Never-married Machine-op-inspct Own-child
## 5112 Never-married Other-service Unmarried
## 5113 Married-civ-spouse Transport-moving Husband
## 5114 Widowed Machine-op-inspct Unmarried
## 5115 Married-civ-spouse Exec-managerial Husband
## 5116 Never-married Prof-specialty Other-relative
## 5117 Married-civ-spouse Craft-repair Husband
## 5118 Never-married Sales Not-in-family
## 5119 Married-civ-spouse Sales Husband
## 5120 Divorced Other-service Unmarried
## 5121 Married-civ-spouse Prof-specialty Husband
## 5122 Married-civ-spouse Craft-repair Husband
## 5123 Never-married Other-service Not-in-family
## 5124 Married-civ-spouse Prof-specialty Wife
## 5125 Never-married Sales Own-child
## 5126 Never-married Sales Not-in-family
## 5127 Never-married Machine-op-inspct Other-relative
## 5128 Widowed Exec-managerial Not-in-family
## 5129 Never-married Sales Own-child
## 5130 Married-civ-spouse Exec-managerial Husband
## 5131 Divorced Craft-repair Not-in-family
## 5132 Married-civ-spouse Adm-clerical Wife
## 5133 Never-married Exec-managerial Not-in-family
## 5134 Widowed Transport-moving Not-in-family
## 5135 Married-civ-spouse Other-service Husband
## 5136 Widowed Craft-repair Unmarried
## 5137 Never-married Handlers-cleaners Own-child
## 5138 Married-civ-spouse Adm-clerical Wife
## 5139 Never-married Protective-serv Own-child
## 5140 Married-civ-spouse Other-service Husband
## 5141 Married-civ-spouse Exec-managerial Husband
## 5142 Never-married Transport-moving Own-child
## 5143 Never-married Other-service Not-in-family
## 5144 Divorced Adm-clerical Other-relative
## 5145 Married-civ-spouse Sales Husband
## 5146 Separated Sales Unmarried
## 5147 Never-married Exec-managerial Not-in-family
## 5148 Never-married ? Own-child
## 5149 Married-civ-spouse Craft-repair Husband
## 5150 Married-civ-spouse Machine-op-inspct Husband
## 5151 Married-civ-spouse Machine-op-inspct Husband
## 5152 Divorced Sales Unmarried
## 5153 Never-married Adm-clerical Not-in-family
## 5154 Divorced Adm-clerical Unmarried
## 5155 Married-civ-spouse Craft-repair Husband
## 5156 Divorced Farming-fishing Unmarried
## 5157 Widowed ? Not-in-family
## 5158 Married-civ-spouse Adm-clerical Wife
## 5159 Married-civ-spouse Exec-managerial Husband
## 5160 Married-civ-spouse Craft-repair Husband
## 5161 Married-civ-spouse Prof-specialty Wife
## 5162 Married-civ-spouse Adm-clerical Wife
## 5163 Married-civ-spouse Other-service Husband
## 5164 Never-married Sales Own-child
## 5165 Married-civ-spouse Craft-repair Husband
## 5166 Never-married Prof-specialty Not-in-family
## 5167 Married-civ-spouse Adm-clerical Husband
## 5168 Married-civ-spouse Handlers-cleaners Husband
## 5169 Married-civ-spouse Farming-fishing Husband
## 5170 Married-civ-spouse Farming-fishing Husband
## 5171 Married-civ-spouse Craft-repair Husband
## 5172 Never-married Sales Not-in-family
## 5173 Married-civ-spouse ? Wife
## 5174 Married-civ-spouse Exec-managerial Husband
## 5175 Never-married Sales Own-child
## 5176 Married-civ-spouse Exec-managerial Husband
## 5177 Married-civ-spouse Sales Own-child
## 5178 Divorced Adm-clerical Not-in-family
## 5179 Divorced Transport-moving Not-in-family
## 5180 Married-civ-spouse Prof-specialty Wife
## 5181 Divorced Prof-specialty Unmarried
## 5182 Never-married Craft-repair Own-child
## 5183 Married-civ-spouse Handlers-cleaners Own-child
## 5184 Divorced Prof-specialty Not-in-family
## 5185 Married-civ-spouse Exec-managerial Wife
## 5186 Never-married Sales Own-child
## 5187 Married-civ-spouse Sales Husband
## 5188 Widowed Prof-specialty Not-in-family
## 5189 Never-married Transport-moving Not-in-family
## 5190 Married-civ-spouse Adm-clerical Wife
## 5191 Married-civ-spouse Craft-repair Husband
## 5192 Never-married Other-service Own-child
## 5193 Married-civ-spouse Exec-managerial Husband
## 5194 Widowed ? Not-in-family
## 5195 Married-civ-spouse Machine-op-inspct Husband
## 5196 Divorced Adm-clerical Unmarried
## 5197 Married-civ-spouse Prof-specialty Husband
## 5198 Married-civ-spouse Sales Husband
## 5199 Married-civ-spouse ? Husband
## 5200 Divorced Adm-clerical Unmarried
## 5201 Never-married Exec-managerial Not-in-family
## 5202 Married-civ-spouse Prof-specialty Husband
## 5203 Married-civ-spouse Prof-specialty Husband
## 5204 Never-married Prof-specialty Own-child
## 5205 Never-married Craft-repair Not-in-family
## 5206 Never-married Prof-specialty Not-in-family
## 5207 Never-married Other-service Not-in-family
## 5208 Divorced ? Other-relative
## 5209 Never-married Other-service Unmarried
## 5210 Never-married ? Own-child
## 5211 Never-married Sales Other-relative
## 5212 Married-civ-spouse Machine-op-inspct Husband
## 5213 Never-married Farming-fishing Not-in-family
## 5214 Never-married Sales Other-relative
## 5215 Widowed ? Not-in-family
## 5216 Married-civ-spouse Exec-managerial Husband
## 5217 Never-married Sales Not-in-family
## 5218 Never-married Craft-repair Not-in-family
## 5219 Never-married Exec-managerial Not-in-family
## 5220 Married-civ-spouse Exec-managerial Wife
## 5221 Married-civ-spouse Prof-specialty Husband
## 5222 Never-married Adm-clerical Own-child
## 5223 Married-civ-spouse Prof-specialty Husband
## 5224 Divorced Adm-clerical Not-in-family
## 5225 Married-civ-spouse Exec-managerial Husband
## 5226 Married-civ-spouse Machine-op-inspct Husband
## 5227 Married-civ-spouse Craft-repair Husband
## 5228 Married-civ-spouse Exec-managerial Wife
## 5229 Never-married ? Not-in-family
## 5230 Married-civ-spouse Handlers-cleaners Husband
## 5231 Married-civ-spouse Other-service Husband
## 5232 Divorced Exec-managerial Not-in-family
## 5233 Divorced Other-service Not-in-family
## 5234 Married-civ-spouse Sales Husband
## 5235 Married-civ-spouse Adm-clerical Wife
## 5236 Never-married Sales Not-in-family
## 5237 Married-civ-spouse Tech-support Husband
## 5238 Never-married Sales Own-child
## 5239 Married-civ-spouse Protective-serv Husband
## 5240 Never-married Prof-specialty Own-child
## 5241 Never-married Tech-support Own-child
## 5242 Married-spouse-absent Other-service Not-in-family
## 5243 Married-civ-spouse Exec-managerial Husband
## 5244 Separated Prof-specialty Unmarried
## 5245 Married-civ-spouse Craft-repair Husband
## 5246 Divorced Exec-managerial Not-in-family
## 5247 Divorced Adm-clerical Not-in-family
## 5248 Never-married Handlers-cleaners Own-child
## 5249 Married-civ-spouse Craft-repair Husband
## 5250 Married-civ-spouse Sales Husband
## 5251 Married-civ-spouse Sales Husband
## 5252 Married-civ-spouse Prof-specialty Wife
## 5253 Never-married Machine-op-inspct Own-child
## 5254 Never-married Protective-serv Not-in-family
## 5255 Married-civ-spouse Machine-op-inspct Husband
## 5256 Divorced ? Unmarried
## 5257 Never-married Other-service Own-child
## 5258 Never-married Craft-repair Not-in-family
## 5259 Never-married Adm-clerical Own-child
## 5260 Never-married Other-service Own-child
## 5261 Never-married Adm-clerical Own-child
## 5262 Never-married Craft-repair Not-in-family
## 5263 Divorced Tech-support Not-in-family
## 5264 Never-married Other-service Own-child
## 5265 Married-civ-spouse Sales Husband
## 5266 Never-married Adm-clerical Not-in-family
## 5267 Never-married Transport-moving Own-child
## 5268 Married-civ-spouse Sales Husband
## 5269 Never-married Prof-specialty Own-child
## 5270 Married-civ-spouse Transport-moving Husband
## 5271 Divorced Transport-moving Not-in-family
## 5272 Never-married Transport-moving Other-relative
## 5273 Never-married Adm-clerical Not-in-family
## 5274 Married-civ-spouse Sales Husband
## 5275 Married-civ-spouse Protective-serv Husband
## 5276 Married-civ-spouse Prof-specialty Husband
## 5277 Married-civ-spouse Exec-managerial Husband
## 5278 Never-married Prof-specialty Own-child
## 5279 Married-civ-spouse Handlers-cleaners Husband
## 5280 Divorced Sales Not-in-family
## 5281 Married-civ-spouse Protective-serv Husband
## 5282 Never-married Handlers-cleaners Not-in-family
## 5283 Married-civ-spouse Exec-managerial Husband
## 5284 Divorced Prof-specialty Not-in-family
## 5285 Never-married Sales Own-child
## 5286 Married-civ-spouse Adm-clerical Wife
## 5287 Separated Handlers-cleaners Other-relative
## 5288 Married-civ-spouse Exec-managerial Wife
## 5289 Never-married Transport-moving Not-in-family
## 5290 Married-civ-spouse Machine-op-inspct Husband
## 5291 Married-civ-spouse Prof-specialty Husband
## 5292 Widowed Prof-specialty Not-in-family
## 5293 Never-married Sales Own-child
## 5294 Married-civ-spouse Farming-fishing Husband
## 5295 Divorced ? Not-in-family
## 5296 Married-civ-spouse Transport-moving Husband
## 5297 Married-civ-spouse ? Husband
## 5298 Married-civ-spouse Handlers-cleaners Husband
## 5299 Married-civ-spouse Adm-clerical Wife
## 5300 Married-civ-spouse Farming-fishing Husband
## 5301 Divorced Handlers-cleaners Unmarried
## 5302 Married-civ-spouse Machine-op-inspct Husband
## 5303 Never-married ? Own-child
## 5304 Never-married Other-service Own-child
## 5305 Never-married Exec-managerial Own-child
## 5306 Divorced Adm-clerical Not-in-family
## 5307 Married-civ-spouse Farming-fishing Husband
## 5308 Separated ? Unmarried
## 5309 Never-married Other-service Own-child
## 5310 Never-married Craft-repair Unmarried
## 5311 Divorced Exec-managerial Not-in-family
## 5312 Never-married Prof-specialty Not-in-family
## 5313 Married-civ-spouse Exec-managerial Husband
## 5314 Never-married Adm-clerical Not-in-family
## 5315 Married-civ-spouse Farming-fishing Husband
## 5316 Never-married Craft-repair Own-child
## 5317 Never-married Adm-clerical Own-child
## 5318 Married-civ-spouse Craft-repair Husband
## 5319 Married-civ-spouse Protective-serv Husband
## 5320 Married-civ-spouse Craft-repair Husband
## 5321 Never-married ? Not-in-family
## 5322 Never-married ? Own-child
## 5323 Never-married Sales Not-in-family
## 5324 Married-civ-spouse Transport-moving Husband
## 5325 Divorced Machine-op-inspct Not-in-family
## 5326 Never-married Handlers-cleaners Own-child
## 5327 Married-civ-spouse Farming-fishing Husband
## 5328 Married-civ-spouse Protective-serv Husband
## 5329 Never-married Exec-managerial Own-child
## 5330 Married-civ-spouse Prof-specialty Husband
## 5331 Married-civ-spouse Other-service Husband
## 5332 Never-married Exec-managerial Own-child
## 5333 Never-married Handlers-cleaners Own-child
## 5334 Divorced Handlers-cleaners Other-relative
## 5335 Married-civ-spouse Exec-managerial Husband
## 5336 Divorced Exec-managerial Not-in-family
## 5337 Never-married Craft-repair Not-in-family
## 5338 Divorced Prof-specialty Unmarried
## 5339 Divorced Adm-clerical Not-in-family
## 5340 Never-married Exec-managerial Not-in-family
## 5341 Married-civ-spouse ? Husband
## 5342 Never-married Machine-op-inspct Own-child
## 5343 Married-civ-spouse Machine-op-inspct Husband
## 5344 Divorced Adm-clerical Unmarried
## 5345 Married-spouse-absent ? Not-in-family
## 5346 Married-civ-spouse Handlers-cleaners Husband
## 5347 Never-married ? Own-child
## 5348 Married-civ-spouse Machine-op-inspct Husband
## 5349 Never-married Other-service Own-child
## 5350 Married-civ-spouse Exec-managerial Wife
## 5351 Never-married Other-service Own-child
## 5352 Never-married Prof-specialty Not-in-family
## 5353 Never-married Craft-repair Own-child
## 5354 Married-civ-spouse Transport-moving Husband
## 5355 Divorced Exec-managerial Unmarried
## 5356 Married-civ-spouse Handlers-cleaners Husband
## 5357 Never-married Sales Own-child
## 5358 Married-civ-spouse Handlers-cleaners Husband
## 5359 Married-civ-spouse Prof-specialty Husband
## 5360 Never-married Other-service Not-in-family
## 5361 Never-married Craft-repair Own-child
## 5362 Never-married ? Own-child
## 5363 Married-civ-spouse Craft-repair Husband
## 5364 Never-married Craft-repair Own-child
## 5365 Married-civ-spouse Sales Husband
## 5366 Married-civ-spouse Other-service Husband
## 5367 Never-married Prof-specialty Own-child
## 5368 Never-married Sales Own-child
## 5369 Married-civ-spouse Sales Husband
## 5370 Married-civ-spouse Transport-moving Husband
## 5371 Married-civ-spouse Exec-managerial Husband
## 5372 Never-married Protective-serv Other-relative
## 5373 Married-civ-spouse Sales Husband
## 5374 Married-civ-spouse Craft-repair Husband
## 5375 Married-civ-spouse Protective-serv Husband
## 5376 Never-married Exec-managerial Not-in-family
## 5377 Married-civ-spouse Craft-repair Husband
## 5378 Separated Prof-specialty Not-in-family
## 5379 Married-civ-spouse Transport-moving Husband
## 5380 Married-civ-spouse Sales Husband
## 5381 Married-civ-spouse Exec-managerial Wife
## 5382 Never-married Adm-clerical Not-in-family
## 5383 Married-civ-spouse Sales Husband
## 5384 Never-married ? Own-child
## 5385 Never-married ? Not-in-family
## 5386 Divorced Handlers-cleaners Not-in-family
## 5387 Married-civ-spouse Exec-managerial Husband
## 5388 Married-civ-spouse Adm-clerical Wife
## 5389 Divorced Tech-support Unmarried
## 5390 Married-civ-spouse Sales Husband
## 5391 Divorced Other-service Unmarried
## 5392 Married-civ-spouse Machine-op-inspct Wife
## 5393 Widowed Adm-clerical Not-in-family
## 5394 Never-married Tech-support Not-in-family
## 5395 Married-civ-spouse Prof-specialty Husband
## 5396 Never-married Adm-clerical Not-in-family
## 5397 Never-married Other-service Own-child
## 5398 Never-married Adm-clerical Own-child
## 5399 Divorced Craft-repair Not-in-family
## 5400 Divorced Other-service Unmarried
## 5401 Married-civ-spouse Exec-managerial Husband
## 5402 Never-married Transport-moving Other-relative
## 5403 Married-spouse-absent Prof-specialty Not-in-family
## 5404 Married-civ-spouse Exec-managerial Husband
## 5405 Married-civ-spouse Craft-repair Husband
## 5406 Married-civ-spouse Prof-specialty Husband
## 5407 Never-married Exec-managerial Not-in-family
## 5408 Divorced Prof-specialty Unmarried
## 5409 Married-civ-spouse Sales Husband
## 5410 Divorced Sales Not-in-family
## 5411 Married-civ-spouse Adm-clerical Other-relative
## 5412 Widowed Prof-specialty Not-in-family
## 5413 Never-married Other-service Own-child
## 5414 Divorced Adm-clerical Not-in-family
## 5415 Married-civ-spouse Sales Husband
## 5416 Never-married Adm-clerical Own-child
## 5417 Married-civ-spouse Other-service Husband
## 5418 Married-civ-spouse Sales Husband
## 5419 Married-civ-spouse Craft-repair Husband
## 5420 Married-civ-spouse Transport-moving Husband
## 5421 Married-civ-spouse Farming-fishing Husband
## 5422 Married-civ-spouse Farming-fishing Husband
## 5423 Never-married Prof-specialty Not-in-family
## 5424 Divorced Other-service Unmarried
## 5425 Never-married Other-service Not-in-family
## 5426 Married-civ-spouse Exec-managerial Husband
## 5427 Never-married Handlers-cleaners Other-relative
## 5428 Married-civ-spouse Adm-clerical Husband
## 5429 Married-civ-spouse Machine-op-inspct Husband
## 5430 Divorced Sales Not-in-family
## 5431 Married-civ-spouse Craft-repair Husband
## 5432 Married-civ-spouse Other-service Wife
## 5433 Divorced Prof-specialty Not-in-family
## 5434 Divorced Adm-clerical Not-in-family
## 5435 Never-married Adm-clerical Own-child
## 5436 Married-spouse-absent Machine-op-inspct Not-in-family
## 5437 Never-married Prof-specialty Not-in-family
## 5438 Married-civ-spouse Exec-managerial Husband
## 5439 Married-civ-spouse Craft-repair Husband
## 5440 Divorced Adm-clerical Own-child
## 5441 Never-married ? Not-in-family
## 5442 Married-civ-spouse Craft-repair Wife
## 5443 Married-civ-spouse Craft-repair Wife
## 5444 Married-civ-spouse Exec-managerial Husband
## 5445 Married-civ-spouse Sales Husband
## 5446 Divorced Machine-op-inspct Own-child
## 5447 Never-married ? Own-child
## 5448 Never-married Other-service Own-child
## 5449 Never-married Transport-moving Own-child
## 5450 Never-married Handlers-cleaners Own-child
## 5451 Never-married Sales Own-child
## 5452 Separated Machine-op-inspct Not-in-family
## 5453 Never-married Adm-clerical Own-child
## 5454 Divorced Craft-repair Unmarried
## 5455 Married-civ-spouse Adm-clerical Wife
## 5456 Married-civ-spouse Craft-repair Husband
## 5457 Married-civ-spouse Prof-specialty Husband
## 5458 Married-civ-spouse Adm-clerical Husband
## 5459 Married-civ-spouse Prof-specialty Husband
## 5460 Never-married Exec-managerial Own-child
## 5461 Never-married Adm-clerical Own-child
## 5462 Never-married Sales Not-in-family
## 5463 Married-civ-spouse Sales Husband
## 5464 Married-spouse-absent Machine-op-inspct Not-in-family
## 5465 Divorced Exec-managerial Not-in-family
## 5466 Divorced Exec-managerial Not-in-family
## 5467 Never-married Handlers-cleaners Own-child
## 5468 Never-married Adm-clerical Other-relative
## 5469 Divorced Other-service Unmarried
## 5470 Never-married Prof-specialty Own-child
## 5471 Divorced Craft-repair Not-in-family
## 5472 Widowed ? Not-in-family
## 5473 Never-married Handlers-cleaners Own-child
## 5474 Married-civ-spouse Prof-specialty Husband
## 5475 Married-civ-spouse Other-service Wife
## 5476 Married-civ-spouse Craft-repair Husband
## 5477 Never-married Other-service Own-child
## 5478 Never-married Prof-specialty Own-child
## 5479 Married-civ-spouse Craft-repair Husband
## 5480 Married-civ-spouse Exec-managerial Husband
## 5481 Married-civ-spouse Tech-support Husband
## 5482 Married-spouse-absent Adm-clerical Unmarried
## 5483 Never-married Sales Own-child
## 5484 Never-married Other-service Not-in-family
## 5485 Married-civ-spouse Prof-specialty Husband
## 5486 Divorced Machine-op-inspct Not-in-family
## 5487 Married-civ-spouse Sales Husband
## 5488 Married-civ-spouse Prof-specialty Husband
## 5489 Married-civ-spouse Craft-repair Husband
## 5490 Divorced Exec-managerial Not-in-family
## 5491 Married-civ-spouse Sales Husband
## 5492 Never-married Protective-serv Own-child
## 5493 Divorced ? Not-in-family
## 5494 Never-married Sales Not-in-family
## 5495 Married-civ-spouse Prof-specialty Husband
## 5496 Never-married Adm-clerical Not-in-family
## 5497 Divorced Machine-op-inspct Not-in-family
## 5498 Married-civ-spouse Adm-clerical Husband
## 5499 Divorced Other-service Not-in-family
## 5500 Divorced Craft-repair Unmarried
## 5501 Married-civ-spouse Sales Husband
## 5502 Divorced Prof-specialty Other-relative
## 5503 Never-married Adm-clerical Not-in-family
## 5504 Never-married Machine-op-inspct Unmarried
## 5505 Never-married Adm-clerical Unmarried
## 5506 Married-civ-spouse Craft-repair Husband
## 5507 Never-married Craft-repair Own-child
## 5508 Married-civ-spouse Craft-repair Husband
## 5509 Never-married Sales Own-child
## 5510 Married-civ-spouse Other-service Husband
## 5511 Never-married Other-service Own-child
## 5512 Widowed Machine-op-inspct Not-in-family
## 5513 Never-married Sales Own-child
## 5514 Divorced Sales Not-in-family
## 5515 Never-married Prof-specialty Not-in-family
## 5516 Never-married Adm-clerical Own-child
## 5517 Married-civ-spouse Craft-repair Husband
## 5518 Married-civ-spouse Machine-op-inspct Husband
## 5519 Married-civ-spouse Prof-specialty Husband
## 5520 Never-married Sales Not-in-family
## 5521 Never-married Other-service Not-in-family
## 5522 Married-civ-spouse Transport-moving Husband
## 5523 Never-married Craft-repair Unmarried
## 5524 Married-civ-spouse Adm-clerical Wife
## 5525 Never-married Craft-repair Other-relative
## 5526 Never-married Exec-managerial Not-in-family
## 5527 Never-married ? Own-child
## 5528 Separated Other-service Unmarried
## 5529 Divorced Prof-specialty Own-child
## 5530 Married-civ-spouse ? Husband
## 5531 Married-civ-spouse Prof-specialty Wife
## 5532 Married-civ-spouse Machine-op-inspct Husband
## 5533 Divorced Prof-specialty Not-in-family
## 5534 Divorced Sales Unmarried
## 5535 Separated Other-service Unmarried
## 5536 Never-married Other-service Own-child
## 5537 Married-civ-spouse Transport-moving Husband
## 5538 Married-civ-spouse Prof-specialty Husband
## 5539 Married-civ-spouse Prof-specialty Husband
## 5540 Never-married Exec-managerial Not-in-family
## 5541 Married-civ-spouse Handlers-cleaners Husband
## 5542 Never-married Machine-op-inspct Not-in-family
## 5543 Married-civ-spouse Exec-managerial Wife
## 5544 Married-civ-spouse Exec-managerial Husband
## 5545 Divorced Protective-serv Not-in-family
## 5546 Never-married Adm-clerical Own-child
## 5547 Never-married Other-service Not-in-family
## 5548 Married-civ-spouse Sales Husband
## 5549 Separated ? Not-in-family
## 5550 Married-civ-spouse Prof-specialty Husband
## 5551 Married-civ-spouse Craft-repair Husband
## 5552 Separated Protective-serv Not-in-family
## 5553 Married-civ-spouse Sales Husband
## 5554 Never-married Sales Own-child
## 5555 Married-civ-spouse Craft-repair Husband
## 5556 Married-civ-spouse Exec-managerial Husband
## 5557 Never-married Sales Own-child
## 5558 Separated Other-service Unmarried
## 5559 Married-civ-spouse Sales Husband
## 5560 Married-spouse-absent Adm-clerical Not-in-family
## 5561 Married-civ-spouse Prof-specialty Husband
## 5562 Widowed ? Not-in-family
## 5563 Married-civ-spouse Protective-serv Husband
## 5564 Divorced Craft-repair Not-in-family
## 5565 Married-civ-spouse Tech-support Husband
## 5566 Never-married ? Other-relative
## 5567 Married-civ-spouse Sales Husband
## 5568 Separated Transport-moving Not-in-family
## 5569 Married-civ-spouse Craft-repair Husband
## 5570 Never-married Exec-managerial Not-in-family
## 5571 Married-civ-spouse Craft-repair Husband
## 5572 Divorced Adm-clerical Other-relative
## 5573 Divorced Sales Not-in-family
## 5574 Married-civ-spouse Transport-moving Husband
## 5575 Never-married Exec-managerial Not-in-family
## 5576 Married-civ-spouse Farming-fishing Husband
## 5577 Never-married Transport-moving Not-in-family
## 5578 Married-civ-spouse Machine-op-inspct Husband
## 5579 Never-married Priv-house-serv Not-in-family
## 5580 Never-married Machine-op-inspct Not-in-family
## 5581 Married-civ-spouse Tech-support Husband
## 5582 Married-civ-spouse Craft-repair Husband
## 5583 Married-civ-spouse Exec-managerial Husband
## 5584 Never-married Craft-repair Own-child
## 5585 Married-civ-spouse Exec-managerial Husband
## 5586 Divorced Adm-clerical Unmarried
## 5587 Married-civ-spouse Prof-specialty Husband
## 5588 Married-civ-spouse Handlers-cleaners Husband
## 5589 Married-civ-spouse Prof-specialty Husband
## 5590 Married-civ-spouse Exec-managerial Husband
## 5591 Widowed ? Not-in-family
## 5592 Never-married Sales Not-in-family
## 5593 Never-married Sales Other-relative
## 5594 Married-civ-spouse Prof-specialty Husband
## 5595 Never-married Other-service Other-relative
## 5596 Married-civ-spouse Craft-repair Husband
## 5597 Married-civ-spouse Prof-specialty Husband
## 5598 Never-married Craft-repair Other-relative
## 5599 Never-married Handlers-cleaners Own-child
## 5600 Never-married Sales Not-in-family
## 5601 Married-civ-spouse Tech-support Husband
## 5602 Married-civ-spouse Exec-managerial Husband
## 5603 Married-civ-spouse Prof-specialty Husband
## 5604 Never-married Exec-managerial Own-child
## 5605 Never-married Other-service Other-relative
## 5606 Separated Prof-specialty Unmarried
## 5607 Married-civ-spouse Exec-managerial Husband
## 5608 Never-married Craft-repair Not-in-family
## 5609 Divorced Transport-moving Unmarried
## 5610 Divorced Sales Unmarried
## 5611 Married-civ-spouse Protective-serv Husband
## 5612 Married-civ-spouse Sales Own-child
## 5613 Married-civ-spouse Adm-clerical Husband
## 5614 Never-married Sales Own-child
## 5615 Never-married Craft-repair Not-in-family
## 5616 Divorced Farming-fishing Not-in-family
## 5617 Never-married Other-service Own-child
## 5618 Never-married Exec-managerial Not-in-family
## 5619 Never-married Exec-managerial Not-in-family
## 5620 Married-civ-spouse Other-service Husband
## 5621 Married-civ-spouse Transport-moving Husband
## 5622 Never-married Craft-repair Own-child
## 5623 Divorced Other-service Unmarried
## 5624 Married-civ-spouse ? Husband
## 5625 Married-civ-spouse Adm-clerical Wife
## 5626 Married-civ-spouse Exec-managerial Husband
## 5627 Married-spouse-absent Other-service Not-in-family
## 5628 Divorced Adm-clerical Unmarried
## 5629 Married-civ-spouse Farming-fishing Husband
## 5630 Married-civ-spouse Craft-repair Other-relative
## 5631 Separated Sales Not-in-family
## 5632 Married-civ-spouse Other-service Husband
## 5633 Married-civ-spouse ? Wife
## 5634 Never-married Adm-clerical Own-child
## 5635 Married-civ-spouse Exec-managerial Husband
## 5636 Divorced Prof-specialty Unmarried
## 5637 Married-spouse-absent Craft-repair Not-in-family
## 5638 Never-married Sales Own-child
## 5639 Never-married Craft-repair Own-child
## 5640 Married-civ-spouse Tech-support Husband
## 5641 Married-civ-spouse Other-service Husband
## 5642 Married-civ-spouse Transport-moving Husband
## 5643 Married-civ-spouse Sales Husband
## 5644 Married-civ-spouse Tech-support Husband
## 5645 Divorced Sales Not-in-family
## 5646 Divorced Other-service Not-in-family
## 5647 Divorced Transport-moving Not-in-family
## 5648 Never-married Adm-clerical Not-in-family
## 5649 Divorced Protective-serv Not-in-family
## 5650 Married-civ-spouse Prof-specialty Husband
## 5651 Never-married Machine-op-inspct Own-child
## 5652 Never-married Craft-repair Not-in-family
## 5653 Married-civ-spouse ? Husband
## 5654 Married-civ-spouse Other-service Husband
## 5655 Never-married Tech-support Not-in-family
## 5656 Never-married Sales Not-in-family
## 5657 Never-married Other-service Own-child
## 5658 Married-civ-spouse Craft-repair Husband
## 5659 Married-civ-spouse Exec-managerial Wife
## 5660 Never-married Prof-specialty Not-in-family
## 5661 Married-civ-spouse Machine-op-inspct Husband
## 5662 Never-married Craft-repair Own-child
## 5663 Married-civ-spouse Exec-managerial Wife
## 5664 Divorced Craft-repair Not-in-family
## 5665 Separated Handlers-cleaners Unmarried
## 5666 Divorced Other-service Not-in-family
## 5667 Married-civ-spouse Transport-moving Husband
## 5668 Never-married Machine-op-inspct Not-in-family
## 5669 Never-married Prof-specialty Not-in-family
## 5670 Married-civ-spouse Craft-repair Husband
## 5671 Never-married Prof-specialty Not-in-family
## 5672 Married-civ-spouse Protective-serv Husband
## 5673 Never-married Sales Not-in-family
## 5674 Married-civ-spouse Adm-clerical Husband
## 5675 Divorced Adm-clerical Own-child
## 5676 Divorced Prof-specialty Not-in-family
## 5677 Never-married Other-service Other-relative
## 5678 Never-married Prof-specialty Not-in-family
## 5679 Married-spouse-absent Adm-clerical Unmarried
## 5680 Married-civ-spouse ? Husband
## 5681 Married-civ-spouse Prof-specialty Husband
## 5682 Married-civ-spouse Sales Husband
## 5683 Married-civ-spouse Exec-managerial Husband
## 5684 Divorced Tech-support Not-in-family
## 5685 Never-married Craft-repair Own-child
## 5686 Married-civ-spouse Sales Husband
## 5687 Widowed Adm-clerical Not-in-family
## 5688 Married-civ-spouse ? Husband
## 5689 Married-civ-spouse Adm-clerical Wife
## 5690 Never-married Other-service Own-child
## 5691 Married-civ-spouse Craft-repair Husband
## 5692 Divorced Exec-managerial Not-in-family
## 5693 Never-married Other-service Own-child
## 5694 Separated Adm-clerical Unmarried
## 5695 Married-civ-spouse Tech-support Husband
## 5696 Divorced Sales Not-in-family
## 5697 Married-civ-spouse Protective-serv Husband
## 5698 Never-married Adm-clerical Unmarried
## 5699 Married-civ-spouse Machine-op-inspct Husband
## 5700 Never-married Sales Not-in-family
## 5701 Married-civ-spouse Machine-op-inspct Husband
## 5702 Married-civ-spouse Craft-repair Husband
## 5703 Married-civ-spouse Craft-repair Husband
## 5704 Married-civ-spouse Prof-specialty Husband
## 5705 Divorced Other-service Unmarried
## 5706 Married-civ-spouse Exec-managerial Husband
## 5707 Never-married Craft-repair Not-in-family
## 5708 Married-civ-spouse Prof-specialty Husband
## 5709 Married-civ-spouse Prof-specialty Husband
## 5710 Married-civ-spouse Prof-specialty Husband
## 5711 Married-civ-spouse Adm-clerical Husband
## 5712 Married-civ-spouse Adm-clerical Husband
## 5713 Married-civ-spouse Craft-repair Husband
## 5714 Never-married Prof-specialty Not-in-family
## 5715 Married-civ-spouse Machine-op-inspct Husband
## 5716 Never-married Other-service Own-child
## 5717 Never-married Other-service Not-in-family
## 5718 Married-civ-spouse Sales Husband
## 5719 Married-civ-spouse Farming-fishing Husband
## 5720 Divorced Machine-op-inspct Not-in-family
## 5721 Never-married ? Own-child
## 5722 Divorced Craft-repair Unmarried
## 5723 Never-married Sales Own-child
## 5724 Never-married Adm-clerical Other-relative
## 5725 Never-married Handlers-cleaners Own-child
## 5726 Married-civ-spouse Exec-managerial Wife
## 5727 Separated Machine-op-inspct Own-child
## 5728 Divorced Transport-moving Not-in-family
## 5729 Married-civ-spouse Protective-serv Husband
## 5730 Divorced Exec-managerial Unmarried
## 5731 Never-married Protective-serv Not-in-family
## 5732 Married-civ-spouse Exec-managerial Own-child
## 5733 Never-married Prof-specialty Own-child
## 5734 Married-civ-spouse Exec-managerial Husband
## 5735 Married-civ-spouse Craft-repair Husband
## 5736 Never-married Handlers-cleaners Own-child
## 5737 Married-civ-spouse Machine-op-inspct Husband
## 5738 Married-civ-spouse Machine-op-inspct Husband
## 5739 Married-civ-spouse Craft-repair Husband
## 5740 Never-married Priv-house-serv Own-child
## 5741 Married-civ-spouse Other-service Husband
## 5742 Never-married Machine-op-inspct Own-child
## 5743 Separated Adm-clerical Unmarried
## 5744 Married-civ-spouse Craft-repair Husband
## 5745 Never-married Prof-specialty Not-in-family
## 5746 Married-civ-spouse Transport-moving Husband
## 5747 Never-married Sales Own-child
## 5748 Married-civ-spouse Prof-specialty Husband
## 5749 Married-civ-spouse Exec-managerial Husband
## 5750 Married-civ-spouse Machine-op-inspct Husband
## 5751 Divorced Exec-managerial Unmarried
## 5752 Married-civ-spouse Machine-op-inspct Husband
## 5753 Married-civ-spouse Machine-op-inspct Husband
## 5754 Married-civ-spouse ? Wife
## 5755 Married-civ-spouse Prof-specialty Husband
## 5756 Married-civ-spouse Handlers-cleaners Husband
## 5757 Married-civ-spouse Transport-moving Husband
## 5758 Married-civ-spouse Prof-specialty Husband
## 5759 Never-married Adm-clerical Own-child
## 5760 Divorced Tech-support Other-relative
## 5761 Never-married Prof-specialty Not-in-family
## 5762 Married-civ-spouse Exec-managerial Husband
## 5763 Married-civ-spouse Tech-support Husband
## 5764 Never-married Other-service Own-child
## 5765 Married-civ-spouse Prof-specialty Husband
## 5766 Married-civ-spouse Transport-moving Wife
## 5767 Married-civ-spouse ? Wife
## 5768 Married-civ-spouse Craft-repair Husband
## 5769 Never-married Adm-clerical Unmarried
## 5770 Married-civ-spouse Transport-moving Husband
## 5771 Never-married Sales Other-relative
## 5772 Married-civ-spouse Tech-support Husband
## 5773 Divorced Other-service Not-in-family
## 5774 Married-civ-spouse Craft-repair Husband
## 5775 Widowed Adm-clerical Not-in-family
## 5776 Divorced Tech-support Not-in-family
## 5777 Married-civ-spouse Craft-repair Husband
## 5778 Married-civ-spouse Adm-clerical Husband
## 5779 Never-married Adm-clerical Other-relative
## 5780 Never-married Prof-specialty Not-in-family
## 5781 Divorced Sales Not-in-family
## 5782 Never-married Adm-clerical Own-child
## 5783 Never-married Tech-support Not-in-family
## 5784 Never-married Tech-support Own-child
## 5785 Married-civ-spouse Other-service Wife
## 5786 Never-married Exec-managerial Own-child
## 5787 Married-civ-spouse Craft-repair Husband
## 5788 Divorced Adm-clerical Not-in-family
## 5789 Divorced ? Own-child
## 5790 Divorced Other-service Unmarried
## 5791 Married-civ-spouse Machine-op-inspct Husband
## 5792 Married-civ-spouse Craft-repair Husband
## 5793 Married-civ-spouse Exec-managerial Husband
## 5794 Married-civ-spouse Exec-managerial Husband
## 5795 Married-civ-spouse Protective-serv Husband
## 5796 Married-civ-spouse Transport-moving Husband
## 5797 Married-civ-spouse Adm-clerical Husband
## 5798 Never-married Adm-clerical Own-child
## 5799 Married-civ-spouse Exec-managerial Husband
## 5800 Never-married Craft-repair Own-child
## 5801 Divorced Other-service Not-in-family
## 5802 Never-married Craft-repair Not-in-family
## 5803 Divorced Prof-specialty Unmarried
## 5804 Divorced ? Own-child
## 5805 Never-married Farming-fishing Own-child
## 5806 Never-married Tech-support Not-in-family
## 5807 Married-civ-spouse Transport-moving Husband
## 5808 Never-married Other-service Own-child
## 5809 Married-civ-spouse ? Husband
## 5810 Divorced Sales Unmarried
## 5811 Married-civ-spouse Machine-op-inspct Husband
## 5812 Married-civ-spouse Exec-managerial Wife
## 5813 Divorced Transport-moving Not-in-family
## 5814 Married-civ-spouse Exec-managerial Husband
## 5815 Separated Craft-repair Not-in-family
## 5816 Married-civ-spouse Exec-managerial Husband
## 5817 Married-civ-spouse Sales Husband
## 5818 Married-civ-spouse Sales Husband
## 5819 Never-married Other-service Not-in-family
## 5820 Widowed Other-service Unmarried
## 5821 Married-civ-spouse Exec-managerial Husband
## 5822 Married-civ-spouse Machine-op-inspct Husband
## 5823 Married-civ-spouse Prof-specialty Wife
## 5824 Married-civ-spouse Machine-op-inspct Husband
## 5825 Married-civ-spouse Sales Husband
## 5826 Divorced Farming-fishing Unmarried
## 5827 Never-married Handlers-cleaners Not-in-family
## 5828 Married-civ-spouse Craft-repair Husband
## 5829 Never-married Sales Own-child
## 5830 Never-married Other-service Own-child
## 5831 Widowed Machine-op-inspct Not-in-family
## 5832 Married-civ-spouse Exec-managerial Husband
## 5833 Widowed ? Not-in-family
## 5834 Never-married Exec-managerial Own-child
## 5835 Married-civ-spouse Other-service Husband
## 5836 Divorced Exec-managerial Unmarried
## 5837 Married-civ-spouse Prof-specialty Husband
## 5838 Divorced Exec-managerial Not-in-family
## 5839 Never-married Adm-clerical Not-in-family
## 5840 Married-civ-spouse Exec-managerial Husband
## 5841 Never-married Transport-moving Not-in-family
## 5842 Married-spouse-absent Prof-specialty Other-relative
## 5843 Never-married Priv-house-serv Not-in-family
## 5844 Never-married Other-service Own-child
## 5845 Never-married Handlers-cleaners Own-child
## 5846 Married-civ-spouse Transport-moving Husband
## 5847 Never-married Other-service Other-relative
## 5848 Divorced Craft-repair Own-child
## 5849 Married-civ-spouse Exec-managerial Husband
## 5850 Never-married Other-service Own-child
## 5851 Never-married Other-service Own-child
## 5852 Never-married Adm-clerical Own-child
## 5853 Never-married Machine-op-inspct Own-child
## 5854 Separated ? Unmarried
## 5855 Married-civ-spouse Craft-repair Husband
## 5856 Married-civ-spouse Farming-fishing Husband
## 5857 Married-civ-spouse Craft-repair Husband
## 5858 Married-civ-spouse Craft-repair Husband
## 5859 Never-married Machine-op-inspct Not-in-family
## 5860 Never-married Adm-clerical Own-child
## 5861 Married-civ-spouse Handlers-cleaners Husband
## 5862 Married-civ-spouse Sales Husband
## 5863 Married-civ-spouse Sales Husband
## 5864 Never-married Prof-specialty Not-in-family
## 5865 Divorced Transport-moving Not-in-family
## 5866 Never-married Prof-specialty Not-in-family
## 5867 Married-civ-spouse Farming-fishing Husband
## 5868 Married-civ-spouse Craft-repair Husband
## 5869 Separated Sales Own-child
## 5870 Married-civ-spouse Machine-op-inspct Husband
## 5871 Married-spouse-absent Craft-repair Not-in-family
## 5872 Married-civ-spouse Prof-specialty Husband
## 5873 Never-married Other-service Unmarried
## 5874 Married-civ-spouse Machine-op-inspct Husband
## 5875 Divorced Craft-repair Not-in-family
## 5876 Married-civ-spouse Machine-op-inspct Husband
## 5877 Never-married Sales Not-in-family
## 5878 Married-civ-spouse Farming-fishing Husband
## 5879 Never-married Other-service Not-in-family
## 5880 Never-married Craft-repair Own-child
## 5881 Married-civ-spouse Transport-moving Husband
## 5882 Married-civ-spouse Machine-op-inspct Husband
## 5883 Married-civ-spouse Sales Husband
## 5884 Never-married Craft-repair Not-in-family
## 5885 Divorced Sales Unmarried
## 5886 Married-civ-spouse Craft-repair Husband
## 5887 Married-civ-spouse Craft-repair Husband
## 5888 Never-married Exec-managerial Not-in-family
## 5889 Never-married Adm-clerical Other-relative
## 5890 Married-civ-spouse Prof-specialty Wife
## 5891 Never-married Sales Own-child
## 5892 Never-married Other-service Not-in-family
## 5893 Never-married Adm-clerical Own-child
## 5894 Never-married Adm-clerical Not-in-family
## 5895 Married-civ-spouse Protective-serv Husband
## 5896 Never-married Adm-clerical Other-relative
## 5897 Never-married Adm-clerical Own-child
## 5898 Never-married Transport-moving Own-child
## 5899 Married-civ-spouse Adm-clerical Husband
## 5900 Married-civ-spouse Craft-repair Other-relative
## 5901 Married-civ-spouse Craft-repair Husband
## 5902 Married-civ-spouse Exec-managerial Wife
## 5903 Married-civ-spouse Sales Husband
## 5904 Married-civ-spouse Transport-moving Wife
## 5905 Married-civ-spouse Handlers-cleaners Husband
## 5906 Married-civ-spouse Craft-repair Husband
## 5907 Married-civ-spouse Other-service Husband
## 5908 Never-married Exec-managerial Not-in-family
## 5909 Married-civ-spouse Adm-clerical Wife
## 5910 Divorced Craft-repair Unmarried
## 5911 Never-married Machine-op-inspct Own-child
## 5912 Never-married Adm-clerical Own-child
## 5913 Never-married Exec-managerial Not-in-family
## 5914 Never-married Other-service Own-child
## 5915 Married-civ-spouse Adm-clerical Wife
## 5916 Never-married Exec-managerial Not-in-family
## 5917 Married-civ-spouse ? Husband
## 5918 Married-civ-spouse Craft-repair Husband
## 5919 Married-civ-spouse Craft-repair Husband
## 5920 Divorced Machine-op-inspct Not-in-family
## 5921 Separated Other-service Unmarried
## 5922 Separated ? Unmarried
## 5923 Married-civ-spouse Transport-moving Husband
## 5924 Married-civ-spouse Craft-repair Husband
## 5925 Separated Prof-specialty Unmarried
## 5926 Married-civ-spouse Tech-support Husband
## 5927 Divorced Prof-specialty Not-in-family
## 5928 Never-married Transport-moving Own-child
## 5929 Never-married ? Own-child
## 5930 Married-civ-spouse Sales Husband
## 5931 Married-civ-spouse Sales Husband
## 5932 Married-civ-spouse Prof-specialty Wife
## 5933 Never-married Handlers-cleaners Own-child
## 5934 Married-civ-spouse Craft-repair Husband
## 5935 Divorced Adm-clerical Unmarried
## 5936 Never-married Adm-clerical Not-in-family
## 5937 Married-spouse-absent Adm-clerical Not-in-family
## 5938 Widowed Sales Not-in-family
## 5939 Never-married Craft-repair Own-child
## 5940 Married-civ-spouse Sales Husband
## 5941 Divorced Craft-repair Not-in-family
## 5942 Married-civ-spouse Other-service Wife
## 5943 Never-married Handlers-cleaners Not-in-family
## 5944 Married-civ-spouse Prof-specialty Husband
## 5945 Never-married Prof-specialty Not-in-family
## 5946 Never-married Sales Own-child
## 5947 Married-civ-spouse Craft-repair Husband
## 5948 Married-civ-spouse Exec-managerial Husband
## 5949 Married-civ-spouse Prof-specialty Wife
## 5950 Never-married Tech-support Own-child
## 5951 Divorced Sales Unmarried
## 5952 Never-married Prof-specialty Not-in-family
## 5953 Never-married Prof-specialty Not-in-family
## 5954 Never-married Adm-clerical Unmarried
## 5955 Never-married Adm-clerical Not-in-family
## 5956 Married-civ-spouse Machine-op-inspct Wife
## 5957 Married-civ-spouse Craft-repair Husband
## 5958 Married-civ-spouse Craft-repair Husband
## 5959 Married-civ-spouse Machine-op-inspct Husband
## 5960 Married-civ-spouse Other-service Wife
## 5961 Never-married Adm-clerical Own-child
## 5962 Married-civ-spouse Craft-repair Wife
## 5963 Separated Exec-managerial Own-child
## 5964 Never-married Priv-house-serv Unmarried
## 5965 Separated Exec-managerial Not-in-family
## 5966 Married-civ-spouse Exec-managerial Husband
## 5967 Divorced Craft-repair Other-relative
## 5968 Never-married Transport-moving Own-child
## 5969 Married-civ-spouse Prof-specialty Husband
## 5970 Never-married Machine-op-inspct Other-relative
## 5971 Never-married Prof-specialty Not-in-family
## 5972 Married-civ-spouse Machine-op-inspct Husband
## 5973 Married-civ-spouse Craft-repair Husband
## 5974 Divorced Other-service Not-in-family
## 5975 Married-civ-spouse Machine-op-inspct Husband
## 5976 Married-civ-spouse Farming-fishing Husband
## 5977 Married-civ-spouse Exec-managerial Husband
## 5978 Married-civ-spouse ? Husband
## 5979 Never-married Farming-fishing Not-in-family
## 5980 Never-married Transport-moving Not-in-family
## 5981 Married-civ-spouse Exec-managerial Husband
## 5982 Divorced Transport-moving Own-child
## 5983 Never-married Transport-moving Own-child
## 5984 Never-married ? Own-child
## 5985 Never-married Prof-specialty Not-in-family
## 5986 Married-civ-spouse Exec-managerial Husband
## 5987 Widowed Other-service Not-in-family
## 5988 Divorced Craft-repair Unmarried
## 5989 Divorced Machine-op-inspct Not-in-family
## 5990 Married-civ-spouse Craft-repair Husband
## 5991 Never-married Sales Own-child
## 5992 Divorced Other-service Own-child
## 5993 Never-married Handlers-cleaners Unmarried
## 5994 Divorced Other-service Not-in-family
## 5995 Married-civ-spouse Machine-op-inspct Husband
## 5996 Never-married Tech-support Own-child
## 5997 Never-married Transport-moving Own-child
## 5998 Married-civ-spouse Craft-repair Husband
## 5999 Divorced Craft-repair Not-in-family
## 6000 Never-married Craft-repair Other-relative
## 6001 Married-civ-spouse Exec-managerial Husband
## 6002 Divorced Adm-clerical Unmarried
## 6003 Married-civ-spouse Prof-specialty Wife
## 6004 Married-civ-spouse Machine-op-inspct Husband
## 6005 Married-civ-spouse Sales Husband
## 6006 Married-civ-spouse Exec-managerial Husband
## 6007 Married-civ-spouse Farming-fishing Husband
## 6008 Divorced Exec-managerial Unmarried
## 6009 Married-civ-spouse Tech-support Husband
## 6010 Never-married Machine-op-inspct Not-in-family
## 6011 Married-civ-spouse Sales Wife
## 6012 Married-civ-spouse Exec-managerial Husband
## 6013 Never-married Prof-specialty Not-in-family
## 6014 Divorced Sales Not-in-family
## 6015 Never-married Handlers-cleaners Own-child
## 6016 Widowed ? Not-in-family
## 6017 Married-civ-spouse Sales Husband
## 6018 Married-civ-spouse Sales Husband
## 6019 Never-married Tech-support Own-child
## 6020 Married-civ-spouse Sales Husband
## 6021 Divorced Exec-managerial Own-child
## 6022 Widowed Other-service Not-in-family
## 6023 Married-civ-spouse Transport-moving Husband
## 6024 Married-civ-spouse Handlers-cleaners Husband
## 6025 Married-civ-spouse Exec-managerial Husband
## 6026 Married-civ-spouse Prof-specialty Husband
## 6027 Married-civ-spouse Craft-repair Husband
## 6028 Married-civ-spouse Farming-fishing Husband
## 6029 Never-married Other-service Not-in-family
## 6030 Married-spouse-absent Prof-specialty Not-in-family
## 6031 Married-civ-spouse Sales Husband
## 6032 Separated Sales Not-in-family
## 6033 Never-married Adm-clerical Not-in-family
## 6034 Married-civ-spouse Adm-clerical Husband
## 6035 Never-married Adm-clerical Own-child
## 6036 Never-married Exec-managerial Not-in-family
## 6037 Married-civ-spouse Transport-moving Husband
## 6038 Married-civ-spouse Transport-moving Husband
## 6039 Married-civ-spouse Other-service Husband
## 6040 Widowed ? Not-in-family
## 6041 Married-civ-spouse Tech-support Husband
## 6042 Never-married Other-service Not-in-family
## 6043 Married-civ-spouse Sales Husband
## 6044 Never-married Other-service Own-child
## 6045 Never-married Adm-clerical Other-relative
## 6046 Married-civ-spouse Craft-repair Husband
## 6047 Married-civ-spouse Adm-clerical Wife
## 6048 Never-married Sales Unmarried
## 6049 Never-married Adm-clerical Not-in-family
## 6050 Married-civ-spouse Transport-moving Husband
## 6051 Married-civ-spouse Craft-repair Husband
## 6052 Divorced ? Not-in-family
## 6053 Divorced Other-service Unmarried
## 6054 Never-married Adm-clerical Not-in-family
## 6055 Divorced Machine-op-inspct Not-in-family
## 6056 Divorced Exec-managerial Not-in-family
## 6057 Divorced Sales Not-in-family
## 6058 Married-spouse-absent Farming-fishing Unmarried
## 6059 Divorced Craft-repair Not-in-family
## 6060 Divorced ? Unmarried
## 6061 Divorced Adm-clerical Unmarried
## 6062 Married-civ-spouse Sales Husband
## 6063 Married-civ-spouse Prof-specialty Husband
## 6064 Never-married Prof-specialty Own-child
## 6065 Married-civ-spouse Exec-managerial Husband
## 6066 Married-civ-spouse Exec-managerial Husband
## 6067 Married-civ-spouse Prof-specialty Husband
## 6068 Married-civ-spouse Machine-op-inspct Husband
## 6069 Never-married Exec-managerial Own-child
## 6070 Never-married Transport-moving Not-in-family
## 6071 Married-civ-spouse Farming-fishing Husband
## 6072 Married-civ-spouse Craft-repair Husband
## 6073 Divorced Adm-clerical Not-in-family
## 6074 Married-civ-spouse Transport-moving Husband
## 6075 Widowed Adm-clerical Unmarried
## 6076 Married-civ-spouse Craft-repair Husband
## 6077 Never-married Prof-specialty Not-in-family
## 6078 Never-married Prof-specialty Not-in-family
## 6079 Divorced Craft-repair Not-in-family
## 6080 Never-married Other-service Not-in-family
## 6081 Married-civ-spouse Exec-managerial Husband
## 6082 Never-married Machine-op-inspct Not-in-family
## 6083 Married-civ-spouse Prof-specialty Wife
## 6084 Never-married Adm-clerical Own-child
## 6085 Married-civ-spouse Transport-moving Husband
## 6086 Married-civ-spouse Transport-moving Husband
## 6087 Married-civ-spouse Transport-moving Husband
## 6088 Never-married Adm-clerical Own-child
## 6089 Never-married Sales Own-child
## 6090 Married-civ-spouse Adm-clerical Husband
## 6091 Divorced Other-service Unmarried
## 6092 Married-civ-spouse Craft-repair Husband
## 6093 Married-civ-spouse Tech-support Wife
## 6094 Never-married Sales Not-in-family
## 6095 Divorced Other-service Unmarried
## 6096 Divorced Other-service Unmarried
## 6097 Separated Machine-op-inspct Not-in-family
## 6098 Married-civ-spouse Craft-repair Husband
## 6099 Divorced Adm-clerical Unmarried
## 6100 Married-civ-spouse Handlers-cleaners Husband
## 6101 Married-civ-spouse Craft-repair Husband
## 6102 Married-civ-spouse Prof-specialty Husband
## 6103 Never-married Farming-fishing Own-child
## 6104 Married-civ-spouse Craft-repair Husband
## 6105 Widowed Other-service Unmarried
## 6106 Married-civ-spouse Exec-managerial Husband
## 6107 Never-married Other-service Unmarried
## 6108 Never-married Other-service Own-child
## 6109 Never-married Craft-repair Not-in-family
## 6110 Married-civ-spouse Machine-op-inspct Husband
## 6111 Never-married Adm-clerical Not-in-family
## 6112 Married-civ-spouse Exec-managerial Husband
## 6113 Married-civ-spouse Craft-repair Husband
## 6114 Never-married Prof-specialty Not-in-family
## 6115 Married-civ-spouse Adm-clerical Husband
## 6116 Married-civ-spouse Protective-serv Husband
## 6117 Married-civ-spouse Exec-managerial Husband
## 6118 Married-civ-spouse Machine-op-inspct Husband
## 6119 Never-married Transport-moving Not-in-family
## 6120 Married-civ-spouse Transport-moving Other-relative
## 6121 Married-spouse-absent Exec-managerial Not-in-family
## 6122 Married-civ-spouse Prof-specialty Husband
## 6123 Never-married Sales Own-child
## 6124 Widowed Other-service Unmarried
## 6125 Married-civ-spouse Craft-repair Husband
## 6126 Never-married Tech-support Not-in-family
## 6127 Divorced Other-service Not-in-family
## 6128 Divorced Adm-clerical Unmarried
## 6129 Never-married Exec-managerial Own-child
## 6130 Married-civ-spouse Prof-specialty Husband
## 6131 Divorced Prof-specialty Not-in-family
## 6132 Married-civ-spouse ? Wife
## 6133 Married-civ-spouse Farming-fishing Husband
## 6134 Divorced Tech-support Not-in-family
## 6135 Married-civ-spouse Adm-clerical Husband
## 6136 Married-civ-spouse Exec-managerial Husband
## 6137 Married-civ-spouse Adm-clerical Husband
## 6138 Married-civ-spouse Sales Husband
## 6139 Never-married Other-service Not-in-family
## 6140 Married-civ-spouse Craft-repair Husband
## 6141 Never-married Other-service Not-in-family
## 6142 Married-civ-spouse Transport-moving Husband
## 6143 Married-civ-spouse Other-service Husband
## 6144 Married-civ-spouse Prof-specialty Wife
## 6145 Divorced Adm-clerical Unmarried
## 6146 Married-civ-spouse Craft-repair Husband
## 6147 Divorced Exec-managerial Not-in-family
## 6148 Married-civ-spouse Exec-managerial Husband
## 6149 Never-married Other-service Own-child
## 6150 Married-civ-spouse Exec-managerial Husband
## 6151 Married-civ-spouse Exec-managerial Wife
## 6152 Married-civ-spouse Craft-repair Husband
## 6153 Separated Other-service Unmarried
## 6154 Never-married Exec-managerial Not-in-family
## 6155 Never-married Sales Not-in-family
## 6156 Never-married Transport-moving Not-in-family
## 6157 Never-married Other-service Own-child
## 6158 Divorced Craft-repair Not-in-family
## 6159 Never-married Sales Not-in-family
## 6160 Never-married Other-service Not-in-family
## 6161 Never-married Prof-specialty Not-in-family
## 6162 Married-spouse-absent Sales Not-in-family
## 6163 Separated Exec-managerial Unmarried
## 6164 Never-married Sales Own-child
## 6165 Married-civ-spouse Craft-repair Husband
## 6166 Married-civ-spouse Transport-moving Husband
## 6167 Never-married Adm-clerical Own-child
## 6168 Divorced Protective-serv Not-in-family
## 6169 Never-married Adm-clerical Own-child
## 6170 Widowed Exec-managerial Not-in-family
## 6171 Married-civ-spouse Exec-managerial Husband
## 6172 Married-civ-spouse Handlers-cleaners Husband
## 6173 Divorced Other-service Not-in-family
## 6174 Married-civ-spouse Prof-specialty Husband
## 6175 Never-married Adm-clerical Own-child
## 6176 Never-married Craft-repair Unmarried
## 6177 Married-civ-spouse Sales Husband
## 6178 Married-civ-spouse Sales Husband
## 6179 Married-civ-spouse ? Husband
## 6180 Married-civ-spouse Craft-repair Husband
## 6181 Married-civ-spouse Farming-fishing Husband
## 6182 Married-civ-spouse Prof-specialty Husband
## 6183 Never-married Exec-managerial Not-in-family
## 6184 Separated Other-service Unmarried
## 6185 Married-civ-spouse Protective-serv Husband
## 6186 Never-married Adm-clerical Not-in-family
## 6187 Married-civ-spouse Other-service Wife
## 6188 Never-married Handlers-cleaners Unmarried
## 6189 Married-civ-spouse Adm-clerical Wife
## 6190 Married-civ-spouse Protective-serv Husband
## 6191 Never-married Other-service Own-child
## 6192 Married-civ-spouse Prof-specialty Wife
## 6193 Married-civ-spouse Adm-clerical Wife
## 6194 Separated Exec-managerial Unmarried
## 6195 Never-married Sales Own-child
## 6196 Married-civ-spouse Adm-clerical Husband
## 6197 Married-civ-spouse Tech-support Husband
## 6198 Married-civ-spouse Exec-managerial Wife
## 6199 Divorced Other-service Not-in-family
## 6200 Divorced Exec-managerial Not-in-family
## 6201 Married-civ-spouse Prof-specialty Husband
## 6202 Never-married Sales Not-in-family
## 6203 Married-civ-spouse Craft-repair Husband
## 6204 Separated Prof-specialty Unmarried
## 6205 Married-civ-spouse Craft-repair Husband
## 6206 Married-civ-spouse Exec-managerial Husband
## 6207 Married-civ-spouse Other-service Husband
## 6208 Married-civ-spouse Craft-repair Husband
## 6209 Never-married Exec-managerial Not-in-family
## 6210 Divorced Protective-serv Unmarried
## 6211 Never-married Craft-repair Not-in-family
## 6212 Never-married Adm-clerical Not-in-family
## 6213 Married-civ-spouse Tech-support Husband
## 6214 Married-civ-spouse Farming-fishing Husband
## 6215 Married-civ-spouse Farming-fishing Husband
## 6216 Never-married Sales Own-child
## 6217 Married-civ-spouse Prof-specialty Husband
## 6218 Married-civ-spouse Exec-managerial Husband
## 6219 Never-married Craft-repair Not-in-family
## 6220 Married-civ-spouse Adm-clerical Husband
## 6221 Married-civ-spouse Exec-managerial Husband
## 6222 Never-married Adm-clerical Not-in-family
## 6223 Divorced Sales Not-in-family
## 6224 Never-married Adm-clerical Own-child
## 6225 Married-civ-spouse Prof-specialty Wife
## 6226 Married-civ-spouse Adm-clerical Wife
## 6227 Never-married Prof-specialty Not-in-family
## 6228 Married-civ-spouse Exec-managerial Husband
## 6229 Divorced Exec-managerial Not-in-family
## 6230 Never-married Adm-clerical Not-in-family
## 6231 Married-civ-spouse Handlers-cleaners Husband
## 6232 Married-civ-spouse ? Husband
## 6233 Married-civ-spouse Prof-specialty Husband
## 6234 Married-civ-spouse Prof-specialty Husband
## 6235 Married-civ-spouse Craft-repair Husband
## 6236 Divorced Adm-clerical Not-in-family
## 6237 Married-civ-spouse Exec-managerial Husband
## 6238 Married-civ-spouse Farming-fishing Husband
## 6239 Never-married Handlers-cleaners Not-in-family
## 6240 Separated Adm-clerical Other-relative
## 6241 Married-civ-spouse Sales Husband
## 6242 Married-spouse-absent Prof-specialty Own-child
## 6243 Never-married Prof-specialty Not-in-family
## 6244 Never-married Prof-specialty Not-in-family
## 6245 Never-married Other-service Own-child
## 6246 Married-civ-spouse Craft-repair Husband
## 6247 Never-married Craft-repair Own-child
## 6248 Never-married Sales Own-child
## 6249 Married-civ-spouse Exec-managerial Husband
## 6250 Never-married Adm-clerical Own-child
## 6251 Married-civ-spouse Craft-repair Husband
## 6252 Never-married Sales Own-child
## 6253 Never-married Sales Own-child
## 6254 Widowed Sales Unmarried
## 6255 Never-married Adm-clerical Not-in-family
## 6256 Married-civ-spouse Craft-repair Husband
## 6257 Married-civ-spouse Exec-managerial Husband
## 6258 Never-married Other-service Own-child
## 6259 Never-married Prof-specialty Not-in-family
## 6260 Separated Protective-serv Not-in-family
## 6261 Divorced Craft-repair Other-relative
## 6262 Separated Adm-clerical Unmarried
## 6263 Never-married Handlers-cleaners Own-child
## 6264 Married-civ-spouse Prof-specialty Husband
## 6265 Married-civ-spouse Craft-repair Husband
## 6266 Married-civ-spouse Farming-fishing Husband
## 6267 Married-civ-spouse Craft-repair Husband
## 6268 Never-married Other-service Own-child
## 6269 Never-married Other-service Own-child
## 6270 Married-civ-spouse Prof-specialty Other-relative
## 6271 Married-civ-spouse Craft-repair Husband
## 6272 Never-married Adm-clerical Unmarried
## 6273 Divorced Sales Own-child
## 6274 Never-married Adm-clerical Own-child
## 6275 Married-civ-spouse Craft-repair Husband
## 6276 Married-civ-spouse Sales Husband
## 6277 Never-married Protective-serv Own-child
## 6278 Divorced Protective-serv Not-in-family
## 6279 Married-civ-spouse Craft-repair Husband
## 6280 Married-civ-spouse Prof-specialty Husband
## 6281 Divorced Craft-repair Not-in-family
## 6282 Married-civ-spouse Exec-managerial Husband
## 6283 Married-civ-spouse Transport-moving Husband
## 6284 Never-married Sales Own-child
## 6285 Never-married ? Not-in-family
## 6286 Never-married ? Own-child
## 6287 Divorced Adm-clerical Not-in-family
## 6288 Never-married Adm-clerical Not-in-family
## 6289 Never-married Exec-managerial Not-in-family
## 6290 Married-civ-spouse Sales Husband
## 6291 Never-married Sales Not-in-family
## 6292 Married-civ-spouse Adm-clerical Husband
## 6293 Never-married Sales Own-child
## 6294 Never-married Adm-clerical Not-in-family
## 6295 Never-married Other-service Unmarried
## 6296 Married-civ-spouse Exec-managerial Wife
## 6297 Never-married Prof-specialty Not-in-family
## 6298 Separated Other-service Unmarried
## 6299 Divorced Other-service Not-in-family
## 6300 Married-civ-spouse Prof-specialty Husband
## 6301 Never-married Craft-repair Not-in-family
## 6302 Married-civ-spouse Craft-repair Husband
## 6303 Married-civ-spouse Machine-op-inspct Husband
## 6304 Married-civ-spouse Sales Husband
## 6305 Married-civ-spouse Prof-specialty Husband
## 6306 Never-married Adm-clerical Own-child
## 6307 Married-civ-spouse Transport-moving Husband
## 6308 Married-civ-spouse Sales Husband
## 6309 Never-married Exec-managerial Not-in-family
## 6310 Divorced Sales Not-in-family
## 6311 Married-civ-spouse Tech-support Wife
## 6312 Married-civ-spouse Craft-repair Husband
## 6313 Never-married Sales Own-child
## 6314 Divorced Exec-managerial Not-in-family
## 6315 Married-civ-spouse ? Husband
## 6316 Separated Exec-managerial Unmarried
## 6317 Never-married Other-service Own-child
## 6318 Divorced Adm-clerical Unmarried
## 6319 Married-civ-spouse Prof-specialty Husband
## 6320 Married-spouse-absent Other-service Not-in-family
## 6321 Married-civ-spouse Exec-managerial Husband
## 6322 Never-married Sales Own-child
## 6323 Married-civ-spouse Farming-fishing Husband
## 6324 Never-married Tech-support Own-child
## 6325 Married-civ-spouse Sales Husband
## 6326 Married-civ-spouse Prof-specialty Husband
## 6327 Divorced Other-service Unmarried
## 6328 Never-married Adm-clerical Not-in-family
## 6329 Never-married Adm-clerical Own-child
## 6330 Never-married Adm-clerical Not-in-family
## 6331 Married-civ-spouse Craft-repair Husband
## 6332 Married-civ-spouse Exec-managerial Wife
## 6333 Married-civ-spouse Prof-specialty Husband
## 6334 Divorced Adm-clerical Unmarried
## 6335 Divorced Prof-specialty Not-in-family
## 6336 Married-civ-spouse Sales Wife
## 6337 Divorced Prof-specialty Unmarried
## 6338 Married-civ-spouse Transport-moving Husband
## 6339 Never-married Protective-serv Own-child
## 6340 Married-civ-spouse Tech-support Wife
## 6341 Divorced Exec-managerial Own-child
## 6342 Never-married Sales Not-in-family
## 6343 Married-civ-spouse ? Husband
## 6344 Married-civ-spouse Exec-managerial Husband
## 6345 Married-civ-spouse Adm-clerical Husband
## 6346 Divorced Craft-repair Unmarried
## 6347 Never-married Exec-managerial Own-child
## 6348 Never-married Sales Not-in-family
## 6349 Never-married Sales Other-relative
## 6350 Married-civ-spouse Prof-specialty Husband
## 6351 Divorced Adm-clerical Unmarried
## 6352 Never-married ? Unmarried
## 6353 Married-civ-spouse Craft-repair Husband
## 6354 Married-civ-spouse Transport-moving Husband
## 6355 Married-civ-spouse Adm-clerical Wife
## 6356 Married-civ-spouse Sales Husband
## 6357 Never-married Sales Not-in-family
## 6358 Divorced Craft-repair Not-in-family
## 6359 Never-married Adm-clerical Not-in-family
## 6360 Married-civ-spouse Prof-specialty Husband
## 6361 Never-married Priv-house-serv Not-in-family
## 6362 Divorced Exec-managerial Not-in-family
## 6363 Married-civ-spouse Machine-op-inspct Husband
## 6364 Married-civ-spouse Farming-fishing Husband
## 6365 Never-married Exec-managerial Unmarried
## 6366 Married-civ-spouse Adm-clerical Husband
## 6367 Never-married Machine-op-inspct Not-in-family
## 6368 Never-married Adm-clerical Unmarried
## 6369 Never-married Handlers-cleaners Own-child
## 6370 Married-civ-spouse Transport-moving Husband
## 6371 Never-married Adm-clerical Unmarried
## 6372 Married-civ-spouse Craft-repair Husband
## 6373 Never-married Exec-managerial Not-in-family
## 6374 Married-civ-spouse Farming-fishing Husband
## 6375 Never-married Exec-managerial Not-in-family
## 6376 Married-civ-spouse Farming-fishing Husband
## 6377 Never-married Prof-specialty Own-child
## 6378 Married-civ-spouse Transport-moving Husband
## 6379 Married-civ-spouse Prof-specialty Husband
## 6380 Divorced Adm-clerical Not-in-family
## 6381 Never-married Transport-moving Not-in-family
## 6382 Married-civ-spouse Other-service Husband
## 6383 Married-civ-spouse Exec-managerial Husband
## 6384 Married-civ-spouse Exec-managerial Husband
## 6385 Married-civ-spouse Prof-specialty Husband
## 6386 Divorced Exec-managerial Unmarried
## 6387 Never-married Other-service Own-child
## 6388 Married-civ-spouse Prof-specialty Husband
## 6389 Never-married Craft-repair Not-in-family
## 6390 Never-married Handlers-cleaners Own-child
## 6391 Married-civ-spouse Farming-fishing Husband
## 6392 Married-civ-spouse Prof-specialty Wife
## 6393 Separated Prof-specialty Not-in-family
## 6394 Separated Priv-house-serv Unmarried
## 6395 Never-married Adm-clerical Own-child
## 6396 Never-married Tech-support Own-child
## 6397 Never-married Handlers-cleaners Own-child
## 6398 Married-civ-spouse Exec-managerial Husband
## 6399 Never-married Other-service Not-in-family
## 6400 Never-married Transport-moving Own-child
## 6401 Never-married Tech-support Own-child
## 6402 Divorced Adm-clerical Unmarried
## 6403 Never-married Prof-specialty Not-in-family
## 6404 Never-married Prof-specialty Not-in-family
## 6405 Never-married Farming-fishing Own-child
## 6406 Divorced Other-service Not-in-family
## 6407 Married-civ-spouse Sales Husband
## 6408 Divorced ? Own-child
## 6409 Never-married Sales Not-in-family
## 6410 Never-married Exec-managerial Own-child
## 6411 Never-married Other-service Own-child
## 6412 Married-civ-spouse Craft-repair Husband
## 6413 Never-married Handlers-cleaners Own-child
## 6414 Married-civ-spouse Craft-repair Husband
## 6415 Married-civ-spouse Prof-specialty Husband
## 6416 Married-civ-spouse Exec-managerial Husband
## 6417 Widowed Adm-clerical Not-in-family
## 6418 Divorced Farming-fishing Not-in-family
## 6419 Married-civ-spouse Handlers-cleaners Husband
## 6420 Married-civ-spouse Exec-managerial Wife
## 6421 Never-married Sales Not-in-family
## 6422 Married-civ-spouse Prof-specialty Husband
## 6423 Separated Adm-clerical Not-in-family
## 6424 Married-civ-spouse Other-service Wife
## 6425 Married-civ-spouse Sales Wife
## 6426 Married-civ-spouse Craft-repair Husband
## 6427 Married-civ-spouse Sales Husband
## 6428 Never-married Other-service Not-in-family
## 6429 Never-married Other-service Own-child
## 6430 Married-civ-spouse Exec-managerial Husband
## 6431 Never-married Prof-specialty Not-in-family
## 6432 Never-married Craft-repair Other-relative
## 6433 Married-civ-spouse ? Husband
## 6434 Married-civ-spouse Farming-fishing Other-relative
## 6435 Divorced Craft-repair Unmarried
## 6436 Widowed Machine-op-inspct Unmarried
## 6437 Never-married Sales Other-relative
## 6438 Never-married Other-service Own-child
## 6439 Married-civ-spouse Sales Husband
## 6440 Widowed Other-service Not-in-family
## 6441 Never-married Craft-repair Own-child
## 6442 Never-married Prof-specialty Own-child
## 6443 Married-civ-spouse Exec-managerial Wife
## 6444 Never-married Exec-managerial Own-child
## 6445 Divorced Adm-clerical Not-in-family
## 6446 Never-married Machine-op-inspct Own-child
## 6447 Never-married Other-service Not-in-family
## 6448 Married-civ-spouse Exec-managerial Husband
## 6449 Never-married ? Own-child
## 6450 Divorced Adm-clerical Not-in-family
## 6451 Never-married Other-service Own-child
## 6452 Married-civ-spouse Craft-repair Husband
## 6453 Never-married Machine-op-inspct Not-in-family
## 6454 Never-married Exec-managerial Not-in-family
## 6455 Married-civ-spouse Handlers-cleaners Husband
## 6456 Married-civ-spouse Prof-specialty Husband
## 6457 Never-married Other-service Not-in-family
## 6458 Married-civ-spouse Transport-moving Husband
## 6459 Divorced Sales Unmarried
## 6460 Never-married Sales Other-relative
## 6461 Married-spouse-absent Adm-clerical Unmarried
## 6462 Widowed Adm-clerical Not-in-family
## 6463 Never-married Adm-clerical Not-in-family
## 6464 Married-civ-spouse Sales Husband
## 6465 Never-married Exec-managerial Not-in-family
## 6466 Married-civ-spouse Prof-specialty Husband
## 6467 Married-civ-spouse Craft-repair Husband
## 6468 Married-civ-spouse Transport-moving Husband
## 6469 Married-civ-spouse Exec-managerial Husband
## 6470 Divorced Adm-clerical Other-relative
## 6471 Never-married Adm-clerical Not-in-family
## 6472 Divorced Adm-clerical Own-child
## 6473 Married-civ-spouse Craft-repair Husband
## 6474 Married-civ-spouse Sales Husband
## 6475 Separated Prof-specialty Unmarried
## 6476 Never-married Prof-specialty Not-in-family
## 6477 Never-married Prof-specialty Not-in-family
## 6478 Married-civ-spouse Transport-moving Husband
## 6479 Married-civ-spouse Exec-managerial Husband
## 6480 Divorced Prof-specialty Not-in-family
## 6481 Never-married Sales Own-child
## 6482 Never-married Prof-specialty Not-in-family
## 6483 Married-civ-spouse Prof-specialty Husband
## 6484 Married-civ-spouse Exec-managerial Husband
## 6485 Married-civ-spouse Prof-specialty Husband
## 6486 Married-civ-spouse Sales Husband
## 6487 Married-civ-spouse Prof-specialty Husband
## 6488 Married-civ-spouse Prof-specialty Husband
## 6489 Married-civ-spouse Other-service Husband
## 6490 Never-married Sales Own-child
## 6491 Married-civ-spouse Craft-repair Husband
## 6492 Married-civ-spouse Transport-moving Husband
## 6493 Married-civ-spouse Prof-specialty Husband
## 6494 Widowed Exec-managerial Unmarried
## 6495 Divorced Exec-managerial Unmarried
## 6496 Married-civ-spouse Prof-specialty Husband
## 6497 Never-married Adm-clerical Own-child
## 6498 Married-civ-spouse Handlers-cleaners Husband
## 6499 Divorced Craft-repair Own-child
## 6500 Married-civ-spouse Craft-repair Husband
## 6501 Married-civ-spouse Prof-specialty Husband
## 6502 Never-married Farming-fishing Own-child
## 6503 Divorced Sales Not-in-family
## 6504 Never-married Tech-support Not-in-family
## 6505 Never-married Handlers-cleaners Own-child
## 6506 Separated Other-service Unmarried
## 6507 Married-civ-spouse Other-service Husband
## 6508 Married-civ-spouse Tech-support Husband
## 6509 Married-civ-spouse Craft-repair Husband
## 6510 Married-civ-spouse Machine-op-inspct Husband
## 6511 Married-civ-spouse ? Husband
## 6512 Never-married Other-service Unmarried
## 6513 Never-married Protective-serv Not-in-family
## 6514 Married-civ-spouse Sales Husband
## 6515 Married-civ-spouse Handlers-cleaners Husband
## 6516 Married-civ-spouse Sales Husband
## 6517 Divorced Adm-clerical Unmarried
## 6518 Never-married Transport-moving Not-in-family
## 6519 Married-civ-spouse Machine-op-inspct Husband
## 6520 Divorced Exec-managerial Unmarried
## 6521 Married-civ-spouse Transport-moving Husband
## 6522 Separated ? Unmarried
## 6523 Never-married Sales Own-child
## 6524 Divorced Adm-clerical Unmarried
## 6525 Divorced Prof-specialty Unmarried
## 6526 Never-married Sales Not-in-family
## 6527 Married-civ-spouse Adm-clerical Husband
## 6528 Never-married Transport-moving Not-in-family
## 6529 Married-civ-spouse Prof-specialty Husband
## 6530 Never-married Adm-clerical Not-in-family
## 6531 Married-civ-spouse Sales Husband
## 6532 Widowed Adm-clerical Not-in-family
## 6533 Married-civ-spouse Craft-repair Husband
## 6534 Never-married Prof-specialty Not-in-family
## 6535 Never-married Prof-specialty Own-child
## 6536 Never-married Sales Not-in-family
## 6537 Married-civ-spouse ? Husband
## 6538 Married-civ-spouse Craft-repair Husband
## 6539 Divorced Machine-op-inspct Not-in-family
## 6540 Separated Transport-moving Not-in-family
## 6541 Never-married Adm-clerical Not-in-family
## 6542 Married-civ-spouse Other-service Husband
## 6543 Never-married ? Own-child
## 6544 Divorced Sales Not-in-family
## 6545 Never-married Machine-op-inspct Unmarried
## 6546 Divorced Adm-clerical Not-in-family
## 6547 Married-civ-spouse Protective-serv Husband
## 6548 Widowed Sales Unmarried
## 6549 Married-civ-spouse Exec-managerial Husband
## 6550 Never-married ? Not-in-family
## 6551 Married-civ-spouse Handlers-cleaners Husband
## 6552 Divorced Tech-support Own-child
## 6553 Married-civ-spouse Transport-moving Husband
## 6554 Divorced Prof-specialty Unmarried
## 6555 Married-civ-spouse Transport-moving Husband
## 6556 Married-civ-spouse Craft-repair Husband
## 6557 Married-civ-spouse Prof-specialty Husband
## 6558 Never-married Tech-support Not-in-family
## 6559 Never-married ? Own-child
## 6560 Married-civ-spouse Farming-fishing Husband
## 6561 Never-married Prof-specialty Not-in-family
## 6562 Married-civ-spouse Prof-specialty Husband
## 6563 Married-civ-spouse Transport-moving Husband
## 6564 Married-civ-spouse Transport-moving Husband
## 6565 Never-married ? Own-child
## 6566 Never-married Adm-clerical Unmarried
## 6567 Married-civ-spouse Farming-fishing Husband
## 6568 Never-married Adm-clerical Not-in-family
## 6569 Married-civ-spouse Farming-fishing Husband
## 6570 Married-civ-spouse Tech-support Husband
## 6571 Married-civ-spouse Sales Own-child
## 6572 Never-married Farming-fishing Own-child
## 6573 Never-married Adm-clerical Not-in-family
## 6574 Married-civ-spouse Exec-managerial Husband
## 6575 Married-civ-spouse Tech-support Husband
## 6576 Never-married Handlers-cleaners Not-in-family
## 6577 Married-civ-spouse Sales Husband
## 6578 Married-civ-spouse Other-service Husband
## 6579 Separated Other-service Not-in-family
## 6580 Divorced Adm-clerical Unmarried
## 6581 Married-civ-spouse Exec-managerial Husband
## 6582 Separated Other-service Not-in-family
## 6583 Married-civ-spouse Craft-repair Husband
## 6584 Divorced Priv-house-serv Unmarried
## 6585 Never-married Craft-repair Not-in-family
## 6586 Married-civ-spouse Sales Husband
## 6587 Married-civ-spouse Exec-managerial Husband
## 6588 Never-married Other-service Other-relative
## 6589 Never-married Exec-managerial Other-relative
## 6590 Divorced Machine-op-inspct Own-child
## 6591 Married-spouse-absent Adm-clerical Not-in-family
## 6592 Never-married ? Own-child
## 6593 Widowed Sales Not-in-family
## 6594 Never-married Sales Own-child
## 6595 Never-married Other-service Unmarried
## 6596 Divorced Sales Unmarried
## 6597 Never-married Sales Not-in-family
## 6598 Never-married Handlers-cleaners Other-relative
## 6599 Married-civ-spouse Machine-op-inspct Husband
## 6600 Married-civ-spouse Tech-support Husband
## 6601 Married-civ-spouse Sales Husband
## 6602 Married-spouse-absent Other-service Not-in-family
## 6603 Widowed Machine-op-inspct Not-in-family
## 6604 Married-civ-spouse Sales Husband
## 6605 Never-married Other-service Not-in-family
## 6606 Never-married Other-service Not-in-family
## 6607 Married-civ-spouse Craft-repair Husband
## 6608 Married-civ-spouse Prof-specialty Husband
## 6609 Married-civ-spouse Exec-managerial Husband
## 6610 Married-civ-spouse Prof-specialty Husband
## 6611 Married-civ-spouse Protective-serv Husband
## 6612 Widowed Adm-clerical Unmarried
## 6613 Never-married Other-service Not-in-family
## 6614 Never-married Handlers-cleaners Other-relative
## 6615 Married-civ-spouse Tech-support Husband
## 6616 Never-married Exec-managerial Not-in-family
## 6617 Never-married Transport-moving Not-in-family
## 6618 Separated Sales Unmarried
## 6619 Married-civ-spouse Transport-moving Husband
## 6620 Separated Adm-clerical Own-child
## 6621 Married-civ-spouse Farming-fishing Husband
## 6622 Divorced Exec-managerial Not-in-family
## 6623 Married-civ-spouse Sales Husband
## 6624 Divorced Craft-repair Unmarried
## 6625 Married-civ-spouse Craft-repair Husband
## 6626 Married-civ-spouse Exec-managerial Husband
## 6627 Never-married Adm-clerical Unmarried
## 6628 Married-civ-spouse Craft-repair Husband
## 6629 Married-civ-spouse Transport-moving Husband
## 6630 Never-married Other-service Unmarried
## 6631 Married-spouse-absent Sales Own-child
## 6632 Married-civ-spouse Exec-managerial Husband
## 6633 Divorced Prof-specialty Unmarried
## 6634 Married-civ-spouse Prof-specialty Husband
## 6635 Never-married Sales Not-in-family
## 6636 Married-civ-spouse Craft-repair Husband
## 6637 Married-civ-spouse Transport-moving Husband
## 6638 Never-married Prof-specialty Not-in-family
## 6639 Married-civ-spouse Craft-repair Husband
## 6640 Married-civ-spouse Prof-specialty Husband
## 6641 Never-married ? Own-child
## 6642 Never-married Machine-op-inspct Own-child
## 6643 Never-married Adm-clerical Not-in-family
## 6644 Divorced Prof-specialty Not-in-family
## 6645 Widowed Craft-repair Unmarried
## 6646 Married-civ-spouse Sales Husband
## 6647 Separated ? Unmarried
## 6648 Never-married Adm-clerical Own-child
## 6649 Never-married Adm-clerical Not-in-family
## 6650 Married-civ-spouse Craft-repair Husband
## 6651 Never-married Handlers-cleaners Own-child
## 6652 Divorced Transport-moving Not-in-family
## 6653 Married-civ-spouse Machine-op-inspct Husband
## 6654 Married-civ-spouse Farming-fishing Husband
## 6655 Divorced Machine-op-inspct Unmarried
## 6656 Married-civ-spouse Craft-repair Husband
## 6657 Divorced Other-service Own-child
## 6658 Never-married Handlers-cleaners Own-child
## 6659 Married-civ-spouse Other-service Husband
## 6660 Married-civ-spouse Sales Husband
## 6661 Married-civ-spouse Sales Husband
## 6662 Married-civ-spouse Craft-repair Husband
## 6663 Never-married Adm-clerical Not-in-family
## 6664 Never-married ? Own-child
## 6665 Married-civ-spouse Prof-specialty Wife
## 6666 Married-civ-spouse Protective-serv Husband
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## native_region income
## 1 United-States <=50K
## 2 United-States <=50K
## 3 United-States <=50K
## 4 United-States <=50K
## 5 Cuba <=50K
## 6 United-States <=50K
## 7 Jamaica <=50K
## 8 United-States >50K
## 9 United-States >50K
## 10 United-States >50K
## 11 United-States >50K
## 12 India >50K
## 13 United-States <=50K
## 14 United-States <=50K
## 15 ? >50K
## 16 Mexico <=50K
## 17 United-States <=50K
## 18 United-States <=50K
## 19 United-States <=50K
## 20 United-States >50K
## 21 United-States >50K
## 22 United-States <=50K
## 23 United-States <=50K
## 24 United-States <=50K
## 25 United-States <=50K
## 26 United-States >50K
## 27 United-States <=50K
## 28 South >50K
## 29 United-States <=50K
## 30 United-States <=50K
## 31 United-States <=50K
## 32 United-States <=50K
## 33 United-States <=50K
## 34 United-States <=50K
## 35 United-States <=50K
## 36 Puerto-Rico <=50K
## 37 United-States <=50K
## 38 United-States <=50K
## 39 ? >50K
## 40 United-States <=50K
## 41 United-States <=50K
## 42 United-States <=50K
## 43 United-States <=50K
## 44 United-States <=50K
## 45 United-States <=50K
## 46 United-States >50K
## 47 United-States <=50K
## 48 United-States <=50K
## 49 United-States <=50K
## 50 United-States <=50K
## 51 United-States <=50K
## 52 ? <=50K
## 53 Honduras >50K
## 54 United-States >50K
## 55 United-States <=50K
## 56 United-States >50K
## 57 Mexico <=50K
## 58 Puerto-Rico <=50K
## 59 United-States <=50K
## 60 United-States <=50K
## 61 United-States <=50K
## 62 ? <=50K
## 63 United-States <=50K
## 64 United-States >50K
## 65 United-States <=50K
## 66 United-States <=50K
## 67 United-States <=50K
## 68 United-States >50K
## 69 United-States >50K
## 70 United-States <=50K
## 71 United-States <=50K
## 72 United-States <=50K
## 73 United-States >50K
## 74 United-States <=50K
## 75 United-States <=50K
## 76 Mexico <=50K
## 77 United-States <=50K
## 78 United-States <=50K
## 79 United-States <=50K
## 80 United-States <=50K
## 81 United-States <=50K
## 82 Cuba <=50K
## 83 United-States <=50K
## 84 United-States <=50K
## 85 United-States >50K
## 86 United-States <=50K
## 87 United-States >50K
## 88 United-States <=50K
## 89 United-States <=50K
## 90 United-States >50K
## 91 United-States <=50K
## 92 United-States <=50K
## 93 United-States <=50K
## 94 ? <=50K
## 95 United-States >50K
## 96 United-States <=50K
## 97 United-States >50K
## 98 United-States >50K
## 99 England <=50K
## 100 United-States <=50K
## 101 United-States >50K
## 102 United-States >50K
## 103 United-States <=50K
## 104 United-States <=50K
## 105 United-States <=50K
## 106 United-States >50K
## 107 United-States <=50K
## 108 United-States <=50K
## 109 United-States <=50K
## 110 United-States <=50K
## 111 United-States <=50K
## 112 United-States >50K
## 113 Canada >50K
## 114 United-States <=50K
## 115 United-States <=50K
## 116 United-States <=50K
## 117 United-States <=50K
## 118 United-States >50K
## 119 United-States <=50K
## 120 United-States <=50K
## 121 United-States <=50K
## 122 United-States <=50K
## 123 Germany <=50K
## 124 United-States >50K
## 125 United-States <=50K
## 126 United-States >50K
## 127 United-States <=50K
## 128 United-States >50K
## 129 United-States <=50K
## 130 United-States <=50K
## 131 United-States <=50K
## 132 United-States <=50K
## 133 United-States <=50K
## 134 United-States <=50K
## 135 United-States <=50K
## 136 Iran >50K
## 137 United-States <=50K
## 138 United-States <=50K
## 139 United-States <=50K
## 140 United-States >50K
## 141 United-States <=50K
## 142 United-States <=50K
## 143 Mexico <=50K
## 144 United-States >50K
## 145 United-States <=50K
## 146 United-States <=50K
## 147 United-States <=50K
## 148 United-States <=50K
## 149 United-States <=50K
## 150 United-States <=50K
## 151 Mexico <=50K
## 152 United-States <=50K
## 153 Philippines <=50K
## 154 United-States <=50K
## 155 United-States >50K
## 156 United-States <=50K
## 157 United-States <=50K
## 158 United-States <=50K
## 159 United-States <=50K
## 160 United-States <=50K
## 161 United-States <=50K
## 162 United-States <=50K
## 163 United-States <=50K
## 164 England <=50K
## 165 United-States >50K
## 166 Mexico <=50K
## 167 United-States <=50K
## 168 United-States <=50K
## 169 United-States <=50K
## 170 United-States <=50K
## 171 United-States <=50K
## 172 United-States <=50K
## 173 United-States >50K
## 174 United-States <=50K
## 175 United-States >50K
## 176 United-States <=50K
## 177 United-States <=50K
## 178 United-States <=50K
## 179 United-States <=50K
## 180 United-States <=50K
## 181 United-States >50K
## 182 United-States <=50K
## 183 United-States <=50K
## 184 Mexico >50K
## 185 United-States >50K
## 186 United-States <=50K
## 187 United-States <=50K
## 188 United-States <=50K
## 189 United-States <=50K
## 190 United-States >50K
## 191 United-States <=50K
## 192 United-States <=50K
## 193 United-States <=50K
## 194 United-States <=50K
## 195 United-States <=50K
## 196 Mexico <=50K
## 197 United-States <=50K
## 198 United-States >50K
## 199 United-States >50K
## 200 United-States <=50K
## 201 United-States <=50K
## 202 Italy <=50K
## 203 United-States >50K
## 204 United-States <=50K
## 205 United-States <=50K
## 206 United-States <=50K
## 207 United-States >50K
## 208 United-States <=50K
## 209 United-States >50K
## 210 United-States <=50K
## 211 United-States <=50K
## 212 United-States >50K
## 213 United-States <=50K
## 214 United-States <=50K
## 215 United-States >50K
## 216 United-States >50K
## 217 United-States <=50K
## 218 Poland <=50K
## 219 United-States <=50K
## 220 United-States <=50K
## 221 United-States <=50K
## 222 United-States <=50K
## 223 United-States <=50K
## 224 United-States <=50K
## 225 United-States <=50K
## 226 United-States <=50K
## 227 United-States <=50K
## 228 United-States <=50K
## 229 Columbia <=50K
## 230 United-States <=50K
## 231 United-States <=50K
## 232 United-States <=50K
## 233 United-States <=50K
## 234 United-States <=50K
## 235 United-States >50K
## 236 United-States <=50K
## 237 United-States <=50K
## 238 Iran >50K
## 239 United-States >50K
## 240 United-States <=50K
## 241 United-States >50K
## 242 United-States <=50K
## 243 United-States <=50K
## 244 United-States <=50K
## 245 United-States <=50K
## 246 ? <=50K
## 247 United-States >50K
## 248 United-States <=50K
## 249 United-States >50K
## 250 ? <=50K
## 251 United-States >50K
## 252 United-States <=50K
## 253 United-States <=50K
## 254 United-States <=50K
## 255 United-States <=50K
## 256 Cambodia >50K
## 257 United-States <=50K
## 258 United-States <=50K
## 259 United-States <=50K
## 260 United-States <=50K
## 261 United-States <=50K
## 262 United-States <=50K
## 263 United-States <=50K
## 264 United-States <=50K
## 265 United-States <=50K
## 266 Thailand >50K
## 267 Canada <=50K
## 268 United-States >50K
## 269 United-States <=50K
## 270 United-States >50K
## 271 United-States >50K
## 272 United-States <=50K
## 273 United-States <=50K
## 274 United-States <=50K
## 275 United-States <=50K
## 276 United-States <=50K
## 277 United-States >50K
## 278 United-States <=50K
## 279 United-States <=50K
## 280 United-States >50K
## 281 Germany <=50K
## 282 United-States >50K
## 283 United-States <=50K
## 284 United-States <=50K
## 285 United-States <=50K
## 286 United-States >50K
## 287 United-States >50K
## 288 United-States <=50K
## 289 United-States <=50K
## 290 Ecuador <=50K
## 291 United-States <=50K
## 292 United-States <=50K
## 293 United-States <=50K
## 294 United-States <=50K
## 295 United-States <=50K
## 296 United-States <=50K
## 297 United-States <=50K
## 298 ? <=50K
## 299 United-States <=50K
## 300 United-States <=50K
## 301 United-States >50K
## 302 United-States <=50K
## 303 United-States >50K
## 304 United-States >50K
## 305 Laos <=50K
## 306 United-States <=50K
## 307 United-States <=50K
## 308 United-States <=50K
## 309 United-States >50K
## 310 United-States >50K
## 311 United-States <=50K
## 312 Taiwan >50K
## 313 United-States <=50K
## 314 United-States >50K
## 315 United-States <=50K
## 316 United-States <=50K
## 317 United-States <=50K
## 318 Mexico <=50K
## 319 United-States <=50K
## 320 United-States <=50K
## 321 United-States <=50K
## 322 United-States <=50K
## 323 United-States <=50K
## 324 United-States <=50K
## 325 United-States <=50K
## 326 United-States <=50K
## 327 United-States <=50K
## 328 United-States >50K
## 329 United-States <=50K
## 330 United-States <=50K
## 331 United-States <=50K
## 332 United-States <=50K
## 333 United-States <=50K
## 334 United-States <=50K
## 335 United-States <=50K
## 336 Mexico <=50K
## 337 United-States <=50K
## 338 United-States <=50K
## 339 Haiti <=50K
## 340 United-States <=50K
## 341 United-States <=50K
## 342 United-States >50K
## 343 United-States >50K
## 344 United-States <=50K
## 345 United-States <=50K
## 346 United-States <=50K
## 347 United-States <=50K
## 348 United-States <=50K
## 349 Iran <=50K
## 350 United-States <=50K
## 351 United-States >50K
## 352 United-States <=50K
## 353 United-States >50K
## 354 United-States <=50K
## 355 United-States >50K
## 356 United-States >50K
## 357 United-States <=50K
## 358 United-States >50K
## 359 United-States <=50K
## 360 Portugal <=50K
## 361 United-States <=50K
## 362 United-States >50K
## 363 United-States <=50K
## 364 United-States >50K
## 365 United-States <=50K
## 366 United-States <=50K
## 367 United-States <=50K
## 368 United-States <=50K
## 369 United-States >50K
## 370 United-States <=50K
## 371 United-States <=50K
## 372 United-States <=50K
## 373 United-States >50K
## 374 United-States <=50K
## 375 United-States <=50K
## 376 United-States <=50K
## 377 United-States <=50K
## 378 United-States <=50K
## 379 United-States <=50K
## 380 United-States <=50K
## 381 United-States <=50K
## 382 United-States <=50K
## 383 United-States <=50K
## 384 United-States <=50K
## 385 United-States <=50K
## 386 United-States <=50K
## 387 United-States <=50K
## 388 United-States >50K
## 389 United-States <=50K
## 390 United-States <=50K
## 391 United-States >50K
## 392 United-States <=50K
## 393 United-States <=50K
## 394 ? >50K
## 395 United-States <=50K
## 396 United-States <=50K
## 397 United-States <=50K
## 398 United-States <=50K
## 399 United-States >50K
## 400 United-States >50K
## 401 United-States <=50K
## 402 United-States <=50K
## 403 United-States >50K
## 404 United-States <=50K
## 405 Puerto-Rico <=50K
## 406 United-States >50K
## 407 United-States <=50K
## 408 United-States <=50K
## 409 United-States >50K
## 410 United-States <=50K
## 411 United-States <=50K
## 412 United-States <=50K
## 413 United-States <=50K
## 414 United-States >50K
## 415 United-States <=50K
## 416 United-States >50K
## 417 Mexico <=50K
## 418 United-States <=50K
## 419 United-States <=50K
## 420 United-States <=50K
## 421 United-States <=50K
## 422 United-States <=50K
## 423 United-States >50K
## 424 United-States <=50K
## 425 United-States <=50K
## 426 United-States <=50K
## 427 United-States <=50K
## 428 Dominican-Republic <=50K
## 429 United-States >50K
## 430 United-States <=50K
## 431 United-States <=50K
## 432 United-States <=50K
## 433 United-States <=50K
## 434 United-States >50K
## 435 Philippines <=50K
## 436 United-States >50K
## 437 United-States <=50K
## 438 United-States <=50K
## 439 United-States <=50K
## 440 United-States <=50K
## 441 United-States <=50K
## 442 United-States <=50K
## 443 United-States <=50K
## 444 United-States >50K
## 445 Mexico <=50K
## 446 United-States <=50K
## 447 United-States <=50K
## 448 United-States <=50K
## 449 United-States <=50K
## 450 United-States <=50K
## 451 United-States <=50K
## 452 United-States >50K
## 453 United-States >50K
## 454 ? >50K
## 455 United-States >50K
## 456 United-States >50K
## 457 United-States <=50K
## 458 United-States <=50K
## 459 United-States <=50K
## 460 United-States <=50K
## 461 United-States <=50K
## 462 United-States <=50K
## 463 United-States <=50K
## 464 United-States <=50K
## 465 United-States <=50K
## 466 United-States <=50K
## 467 United-States <=50K
## 468 United-States <=50K
## 469 United-States >50K
## 470 United-States >50K
## 471 United-States >50K
## 472 United-States <=50K
## 473 United-States <=50K
## 474 United-States <=50K
## 475 United-States <=50K
## 476 United-States <=50K
## 477 United-States <=50K
## 478 United-States <=50K
## 479 United-States <=50K
## 480 United-States <=50K
## 481 Portugal <=50K
## 482 United-States <=50K
## 483 United-States <=50K
## 484 United-States <=50K
## 485 United-States <=50K
## 486 United-States <=50K
## 487 United-States <=50K
## 488 United-States <=50K
## 489 United-States <=50K
## 490 United-States >50K
## 491 United-States <=50K
## 492 United-States <=50K
## 493 United-States <=50K
## 494 United-States <=50K
## 495 United-States <=50K
## 496 United-States <=50K
## 497 United-States <=50K
## 498 El-Salvador <=50K
## 499 United-States <=50K
## 500 United-States <=50K
## 501 Poland <=50K
## 502 United-States <=50K
## 503 United-States <=50K
## 504 France <=50K
## 505 United-States <=50K
## 506 United-States <=50K
## 507 United-States <=50K
## 508 United-States <=50K
## 509 United-States <=50K
## 510 United-States <=50K
## 511 United-States <=50K
## 512 United-States <=50K
## 513 United-States <=50K
## 514 United-States >50K
## 515 United-States <=50K
## 516 United-States <=50K
## 517 United-States <=50K
## 518 United-States <=50K
## 519 United-States <=50K
## 520 United-States >50K
## 521 United-States >50K
## 522 United-States >50K
## 523 United-States <=50K
## 524 United-States >50K
## 525 United-States >50K
## 526 United-States <=50K
## 527 United-States >50K
## 528 United-States <=50K
## 529 United-States <=50K
## 530 United-States <=50K
## 531 Puerto-Rico <=50K
## 532 United-States <=50K
## 533 United-States <=50K
## 534 United-States >50K
## 535 United-States >50K
## 536 United-States <=50K
## 537 United-States <=50K
## 538 United-States <=50K
## 539 United-States <=50K
## 540 United-States <=50K
## 541 United-States <=50K
## 542 United-States <=50K
## 543 United-States <=50K
## 544 United-States <=50K
## 545 United-States <=50K
## 546 United-States <=50K
## 547 United-States <=50K
## 548 United-States <=50K
## 549 United-States <=50K
## 550 United-States <=50K
## 551 United-States <=50K
## 552 United-States <=50K
## 553 United-States <=50K
## 554 United-States <=50K
## 555 United-States >50K
## 556 United-States <=50K
## 557 United-States <=50K
## 558 ? <=50K
## 559 United-States <=50K
## 560 Mexico <=50K
## 561 United-States <=50K
## 562 United-States >50K
## 563 United-States >50K
## 564 United-States <=50K
## 565 United-States >50K
## 566 United-States <=50K
## 567 United-States <=50K
## 568 Mexico <=50K
## 569 United-States <=50K
## 570 United-States <=50K
## 571 United-States <=50K
## 572 United-States <=50K
## 573 United-States <=50K
## 574 United-States >50K
## 575 United-States <=50K
## 576 United-States >50K
## 577 United-States <=50K
## 578 United-States <=50K
## 579 United-States <=50K
## 580 United-States <=50K
## 581 United-States >50K
## 582 United-States >50K
## 583 United-States <=50K
## 584 United-States <=50K
## 585 United-States <=50K
## 586 United-States <=50K
## 587 United-States <=50K
## 588 United-States <=50K
## 589 United-States >50K
## 590 United-States <=50K
## 591 United-States <=50K
## 592 United-States <=50K
## 593 United-States >50K
## 594 Canada >50K
## 595 United-States <=50K
## 596 United-States <=50K
## 597 United-States <=50K
## 598 United-States >50K
## 599 United-States <=50K
## 600 United-States <=50K
## 601 United-States <=50K
## 602 United-States <=50K
## 603 United-States <=50K
## 604 United-States <=50K
## 605 United-States <=50K
## 606 United-States <=50K
## 607 United-States >50K
## 608 United-States <=50K
## 609 United-States <=50K
## 610 United-States <=50K
## 611 United-States <=50K
## 612 United-States <=50K
## 613 United-States <=50K
## 614 United-States <=50K
## 615 United-States <=50K
## 616 United-States <=50K
## 617 United-States <=50K
## 618 United-States <=50K
## 619 United-States <=50K
## 620 United-States >50K
## 621 United-States <=50K
## 622 United-States <=50K
## 623 United-States <=50K
## 624 United-States <=50K
## 625 El-Salvador <=50K
## 626 United-States <=50K
## 627 United-States >50K
## 628 United-States <=50K
## 629 United-States >50K
## 630 United-States >50K
## 631 United-States <=50K
## 632 United-States <=50K
## 633 United-States >50K
## 634 United-States >50K
## 635 United-States <=50K
## 636 United-States <=50K
## 637 United-States <=50K
## 638 United-States >50K
## 639 Cuba <=50K
## 640 United-States >50K
## 641 United-States <=50K
## 642 United-States <=50K
## 643 United-States <=50K
## 644 United-States >50K
## 645 United-States <=50K
## 646 United-States >50K
## 647 United-States <=50K
## 648 United-States <=50K
## 649 United-States <=50K
## 650 United-States >50K
## 651 United-States <=50K
## 652 United-States <=50K
## 653 Taiwan >50K
## 654 United-States <=50K
## 655 United-States <=50K
## 656 Philippines <=50K
## 657 United-States <=50K
## 658 United-States <=50K
## 659 United-States <=50K
## 660 United-States >50K
## 661 United-States >50K
## 662 United-States <=50K
## 663 United-States <=50K
## 664 United-States <=50K
## 665 United-States <=50K
## 666 United-States >50K
## 667 United-States <=50K
## 668 United-States >50K
## 669 South <=50K
## 670 United-States <=50K
## 671 United-States <=50K
## 672 United-States <=50K
## 673 United-States <=50K
## 674 United-States >50K
## 675 United-States >50K
## 676 United-States <=50K
## 677 United-States <=50K
## 678 Mexico <=50K
## 679 United-States <=50K
## 680 United-States <=50K
## 681 United-States <=50K
## 682 Portugal >50K
## 683 United-States >50K
## 684 United-States <=50K
## 685 United-States <=50K
## 686 United-States <=50K
## 687 United-States <=50K
## 688 United-States <=50K
## 689 Dominican-Republic <=50K
## 690 United-States <=50K
## 691 United-States <=50K
## 692 United-States <=50K
## 693 United-States <=50K
## 694 United-States <=50K
## 695 United-States <=50K
## 696 United-States <=50K
## 697 United-States >50K
## 698 United-States >50K
## 699 Poland <=50K
## 700 United-States <=50K
## 701 United-States <=50K
## 702 Cuba <=50K
## 703 United-States <=50K
## 704 United-States <=50K
## 705 United-States >50K
## 706 United-States >50K
## 707 Jamaica <=50K
## 708 United-States <=50K
## 709 United-States <=50K
## 710 United-States <=50K
## 711 United-States <=50K
## 712 United-States <=50K
## 713 ? <=50K
## 714 United-States <=50K
## 715 Honduras <=50K
## 716 United-States <=50K
## 717 United-States <=50K
## 718 United-States <=50K
## 719 United-States <=50K
## 720 United-States >50K
## 721 United-States <=50K
## 722 United-States <=50K
## 723 United-States <=50K
## 724 United-States >50K
## 725 United-States >50K
## 726 ? >50K
## 727 United-States <=50K
## 728 United-States <=50K
## 729 Mexico <=50K
## 730 ? >50K
## 731 United-States <=50K
## 732 United-States <=50K
## 733 United-States <=50K
## 734 United-States <=50K
## 735 United-States <=50K
## 736 United-States <=50K
## 737 United-States <=50K
## 738 United-States <=50K
## 739 United-States <=50K
## 740 United-States >50K
## 741 United-States <=50K
## 742 United-States <=50K
## 743 United-States >50K
## 744 United-States <=50K
## 745 United-States <=50K
## 746 United-States >50K
## 747 United-States >50K
## 748 United-States <=50K
## 749 Haiti <=50K
## 750 United-States <=50K
## 751 United-States >50K
## 752 United-States <=50K
## 753 United-States <=50K
## 754 United-States <=50K
## 755 United-States <=50K
## 756 United-States <=50K
## 757 United-States >50K
## 758 United-States <=50K
## 759 United-States >50K
## 760 United-States <=50K
## 761 United-States <=50K
## 762 United-States >50K
## 763 Portugal <=50K
## 764 United-States >50K
## 765 United-States >50K
## 766 United-States <=50K
## 767 United-States <=50K
## 768 Germany <=50K
## 769 United-States <=50K
## 770 United-States <=50K
## 771 United-States <=50K
## 772 Guatemala <=50K
## 773 United-States <=50K
## 774 United-States >50K
## 775 United-States <=50K
## 776 United-States <=50K
## 777 United-States <=50K
## 778 ? <=50K
## 779 United-States >50K
## 780 United-States <=50K
## 781 ? <=50K
## 782 United-States <=50K
## 783 United-States >50K
## 784 United-States <=50K
## 785 United-States >50K
## 786 United-States <=50K
## 787 United-States <=50K
## 788 United-States <=50K
## 789 United-States <=50K
## 790 United-States <=50K
## 791 United-States >50K
## 792 United-States <=50K
## 793 United-States <=50K
## 794 United-States <=50K
## 795 United-States >50K
## 796 United-States <=50K
## 797 United-States <=50K
## 798 United-States <=50K
## 799 United-States >50K
## 800 England >50K
## 801 United-States <=50K
## 802 United-States <=50K
## 803 United-States <=50K
## 804 United-States <=50K
## 805 United-States <=50K
## 806 United-States >50K
## 807 United-States <=50K
## 808 United-States >50K
## 809 United-States >50K
## 810 United-States <=50K
## 811 United-States <=50K
## 812 United-States <=50K
## 813 United-States <=50K
## 814 United-States <=50K
## 815 United-States <=50K
## 816 Italy <=50K
## 817 United-States <=50K
## 818 United-States >50K
## 819 United-States <=50K
## 820 United-States >50K
## 821 United-States <=50K
## 822 United-States <=50K
## 823 United-States <=50K
## 824 United-States <=50K
## 825 United-States <=50K
## 826 United-States >50K
## 827 United-States <=50K
## 828 United-States <=50K
## 829 United-States <=50K
## 830 United-States <=50K
## 831 United-States <=50K
## 832 United-States >50K
## 833 United-States <=50K
## 834 United-States <=50K
## 835 United-States <=50K
## 836 United-States <=50K
## 837 United-States <=50K
## 838 United-States >50K
## 839 United-States <=50K
## 840 United-States <=50K
## 841 United-States <=50K
## 842 United-States <=50K
## 843 United-States >50K
## 844 United-States <=50K
## 845 United-States >50K
## 846 United-States <=50K
## 847 United-States <=50K
## 848 United-States >50K
## 849 United-States <=50K
## 850 United-States <=50K
## 851 United-States >50K
## 852 United-States <=50K
## 853 United-States <=50K
## 854 United-States <=50K
## 855 United-States >50K
## 856 United-States <=50K
## 857 United-States <=50K
## 858 United-States >50K
## 859 United-States <=50K
## 860 United-States >50K
## 861 United-States <=50K
## 862 Mexico <=50K
## 863 United-States <=50K
## 864 United-States <=50K
## 865 United-States <=50K
## 866 United-States <=50K
## 867 United-States <=50K
## 868 United-States <=50K
## 869 United-States >50K
## 870 United-States <=50K
## 871 United-States >50K
## 872 United-States <=50K
## 873 United-States >50K
## 874 China >50K
## 875 United-States <=50K
## 876 United-States >50K
## 877 United-States <=50K
## 878 United-States <=50K
## 879 United-States >50K
## 880 United-States <=50K
## 881 United-States <=50K
## 882 Philippines >50K
## 883 United-States <=50K
## 884 United-States >50K
## 885 United-States <=50K
## 886 United-States <=50K
## 887 United-States <=50K
## 888 ? <=50K
## 889 United-States <=50K
## 890 United-States <=50K
## 891 United-States <=50K
## 892 United-States <=50K
## 893 India <=50K
## 894 United-States >50K
## 895 United-States >50K
## 896 United-States <=50K
## 897 United-States <=50K
## 898 United-States <=50K
## 899 United-States >50K
## 900 United-States <=50K
## 901 United-States <=50K
## 902 United-States <=50K
## 903 United-States <=50K
## 904 United-States <=50K
## 905 United-States <=50K
## 906 United-States <=50K
## 907 United-States <=50K
## 908 United-States <=50K
## 909 United-States <=50K
## 910 United-States <=50K
## 911 United-States <=50K
## 912 United-States <=50K
## 913 United-States <=50K
## 914 United-States <=50K
## 915 United-States <=50K
## 916 United-States >50K
## 917 South <=50K
## 918 United-States >50K
## 919 United-States <=50K
## 920 United-States <=50K
## 921 United-States <=50K
## 922 United-States <=50K
## 923 Mexico <=50K
## 924 United-States <=50K
## 925 United-States <=50K
## 926 United-States <=50K
## 927 United-States <=50K
## 928 United-States >50K
## 929 United-States <=50K
## 930 Guatemala <=50K
## 931 United-States <=50K
## 932 United-States <=50K
## 933 United-States <=50K
## 934 Mexico <=50K
## 935 United-States >50K
## 936 United-States >50K
## 937 United-States <=50K
## 938 United-States >50K
## 939 United-States <=50K
## 940 United-States >50K
## 941 United-States <=50K
## 942 United-States <=50K
## 943 United-States >50K
## 944 United-States <=50K
## 945 United-States <=50K
## 946 United-States <=50K
## 947 United-States <=50K
## 948 United-States >50K
## 949 United-States <=50K
## 950 United-States <=50K
## 951 United-States >50K
## 952 United-States >50K
## 953 United-States <=50K
## 954 United-States <=50K
## 955 United-States <=50K
## 956 ? <=50K
## 957 United-States >50K
## 958 United-States <=50K
## 959 United-States >50K
## 960 United-States >50K
## 961 United-States <=50K
## 962 United-States <=50K
## 963 Mexico <=50K
## 964 United-States <=50K
## 965 United-States <=50K
## 966 United-States <=50K
## 967 United-States >50K
## 968 United-States <=50K
## 969 India >50K
## 970 United-States <=50K
## 971 United-States >50K
## 972 United-States <=50K
## 973 United-States >50K
## 974 United-States <=50K
## 975 United-States <=50K
## 976 United-States <=50K
## 977 United-States <=50K
## 978 United-States >50K
## 979 United-States <=50K
## 980 United-States <=50K
## 981 United-States <=50K
## 982 United-States <=50K
## 983 United-States <=50K
## 984 United-States <=50K
## 985 United-States >50K
## 986 United-States <=50K
## 987 United-States <=50K
## 988 United-States <=50K
## 989 United-States <=50K
## 990 United-States <=50K
## 991 United-States <=50K
## 992 United-States <=50K
## 993 United-States <=50K
## 994 United-States >50K
## 995 United-States <=50K
## 996 United-States >50K
## 997 United-States <=50K
## 998 United-States >50K
## 999 United-States <=50K
## 1000 United-States >50K
## 1001 United-States <=50K
## 1002 United-States >50K
## 1003 United-States >50K
## 1004 United-States <=50K
## 1005 United-States <=50K
## 1006 United-States <=50K
## 1007 United-States <=50K
## 1008 United-States >50K
## 1009 United-States >50K
## 1010 Germany <=50K
## 1011 United-States <=50K
## 1012 United-States <=50K
## 1013 United-States >50K
## 1014 United-States >50K
## 1015 United-States <=50K
## 1016 United-States <=50K
## 1017 United-States >50K
## 1018 United-States <=50K
## 1019 United-States <=50K
## 1020 United-States <=50K
## 1021 Japan <=50K
## 1022 United-States >50K
## 1023 United-States <=50K
## 1024 United-States <=50K
## 1025 United-States <=50K
## 1026 Yugoslavia <=50K
## 1027 ? <=50K
## 1028 United-States >50K
## 1029 United-States <=50K
## 1030 India <=50K
## 1031 United-States <=50K
## 1032 United-States <=50K
## 1033 United-States <=50K
## 1034 United-States <=50K
## 1035 United-States <=50K
## 1036 United-States <=50K
## 1037 ? <=50K
## 1038 United-States <=50K
## 1039 United-States <=50K
## 1040 United-States <=50K
## 1041 United-States <=50K
## 1042 United-States <=50K
## 1043 United-States <=50K
## 1044 United-States >50K
## 1045 United-States <=50K
## 1046 United-States <=50K
## 1047 United-States <=50K
## 1048 United-States <=50K
## 1049 United-States <=50K
## 1050 United-States >50K
## 1051 United-States <=50K
## 1052 Canada >50K
## 1053 United-States >50K
## 1054 United-States >50K
## 1055 Iran <=50K
## 1056 United-States <=50K
## 1057 United-States <=50K
## 1058 United-States <=50K
## 1059 United-States >50K
## 1060 United-States >50K
## 1061 United-States <=50K
## 1062 United-States <=50K
## 1063 Mexico <=50K
## 1064 United-States <=50K
## 1065 United-States >50K
## 1066 United-States <=50K
## 1067 United-States >50K
## 1068 United-States <=50K
## 1069 United-States <=50K
## 1070 United-States <=50K
## 1071 United-States <=50K
## 1072 United-States >50K
## 1073 United-States >50K
## 1074 United-States >50K
## 1075 United-States <=50K
## 1076 United-States <=50K
## 1077 United-States <=50K
## 1078 Taiwan <=50K
## 1079 United-States <=50K
## 1080 United-States >50K
## 1081 United-States <=50K
## 1082 United-States <=50K
## 1083 United-States <=50K
## 1084 United-States >50K
## 1085 United-States <=50K
## 1086 United-States <=50K
## 1087 United-States <=50K
## 1088 United-States <=50K
## 1089 United-States >50K
## 1090 United-States <=50K
## 1091 United-States >50K
## 1092 United-States >50K
## 1093 China <=50K
## 1094 United-States <=50K
## 1095 United-States <=50K
## 1096 India <=50K
## 1097 United-States <=50K
## 1098 United-States <=50K
## 1099 United-States >50K
## 1100 United-States <=50K
## 1101 United-States <=50K
## 1102 United-States >50K
## 1103 Mexico <=50K
## 1104 United-States <=50K
## 1105 United-States >50K
## 1106 United-States <=50K
## 1107 United-States <=50K
## 1108 United-States <=50K
## 1109 United-States >50K
## 1110 United-States <=50K
## 1111 Mexico >50K
## 1112 United-States >50K
## 1113 United-States <=50K
## 1114 United-States <=50K
## 1115 United-States <=50K
## 1116 ? >50K
## 1117 United-States <=50K
## 1118 United-States <=50K
## 1119 United-States >50K
## 1120 Japan <=50K
## 1121 United-States <=50K
## 1122 United-States <=50K
## 1123 United-States <=50K
## 1124 United-States <=50K
## 1125 United-States <=50K
## 1126 United-States <=50K
## 1127 United-States >50K
## 1128 United-States <=50K
## 1129 United-States <=50K
## 1130 United-States <=50K
## 1131 United-States <=50K
## 1132 United-States <=50K
## 1133 Mexico <=50K
## 1134 United-States <=50K
## 1135 United-States <=50K
## 1136 Jamaica >50K
## 1137 United-States >50K
## 1138 United-States >50K
## 1139 United-States <=50K
## 1140 Mexico <=50K
## 1141 United-States <=50K
## 1142 United-States <=50K
## 1143 Germany <=50K
## 1144 United-States <=50K
## 1145 United-States <=50K
## 1146 United-States >50K
## 1147 United-States <=50K
## 1148 United-States <=50K
## 1149 United-States >50K
## 1150 United-States >50K
## 1151 United-States <=50K
## 1152 United-States <=50K
## 1153 ? <=50K
## 1154 United-States <=50K
## 1155 United-States <=50K
## 1156 Mexico <=50K
## 1157 United-States >50K
## 1158 United-States >50K
## 1159 ? <=50K
## 1160 United-States <=50K
## 1161 United-States <=50K
## 1162 United-States <=50K
## 1163 United-States >50K
## 1164 United-States >50K
## 1165 United-States >50K
## 1166 United-States <=50K
## 1167 United-States >50K
## 1168 United-States <=50K
## 1169 United-States <=50K
## 1170 United-States <=50K
## 1171 United-States <=50K
## 1172 United-States <=50K
## 1173 United-States >50K
## 1174 United-States <=50K
## 1175 United-States <=50K
## 1176 United-States >50K
## 1177 United-States <=50K
## 1178 United-States >50K
## 1179 United-States <=50K
## 1180 United-States <=50K
## 1181 United-States >50K
## 1182 United-States >50K
## 1183 United-States <=50K
## 1184 United-States <=50K
## 1185 United-States <=50K
## 1186 United-States <=50K
## 1187 United-States <=50K
## 1188 United-States <=50K
## 1189 United-States <=50K
## 1190 United-States <=50K
## 1191 United-States <=50K
## 1192 United-States >50K
## 1193 United-States <=50K
## 1194 United-States <=50K
## 1195 United-States <=50K
## 1196 United-States <=50K
## 1197 United-States <=50K
## 1198 United-States <=50K
## 1199 Dominican-Republic <=50K
## 1200 ? <=50K
## 1201 United-States >50K
## 1202 United-States >50K
## 1203 United-States <=50K
## 1204 United-States >50K
## 1205 United-States <=50K
## 1206 United-States >50K
## 1207 United-States <=50K
## 1208 United-States >50K
## 1209 United-States <=50K
## 1210 United-States <=50K
## 1211 United-States >50K
## 1212 United-States <=50K
## 1213 United-States <=50K
## 1214 United-States >50K
## 1215 United-States <=50K
## 1216 United-States >50K
## 1217 United-States >50K
## 1218 China <=50K
## 1219 United-States <=50K
## 1220 United-States >50K
## 1221 United-States >50K
## 1222 United-States <=50K
## 1223 United-States <=50K
## 1224 United-States <=50K
## 1225 ? >50K
## 1226 United-States <=50K
## 1227 United-States >50K
## 1228 United-States <=50K
## 1229 England <=50K
## 1230 United-States <=50K
## 1231 United-States >50K
## 1232 United-States <=50K
## 1233 United-States <=50K
## 1234 United-States <=50K
## 1235 United-States <=50K
## 1236 United-States <=50K
## 1237 United-States <=50K
## 1238 Cuba <=50K
## 1239 United-States <=50K
## 1240 United-States <=50K
## 1241 United-States >50K
## 1242 United-States <=50K
## 1243 United-States <=50K
## 1244 United-States >50K
## 1245 United-States <=50K
## 1246 United-States <=50K
## 1247 United-States >50K
## 1248 United-States <=50K
## 1249 United-States <=50K
## 1250 United-States <=50K
## 1251 United-States >50K
## 1252 United-States <=50K
## 1253 ? <=50K
## 1254 United-States <=50K
## 1255 United-States <=50K
## 1256 United-States <=50K
## 1257 United-States <=50K
## 1258 United-States >50K
## 1259 United-States >50K
## 1260 United-States <=50K
## 1261 United-States <=50K
## 1262 United-States >50K
## 1263 United-States <=50K
## 1264 United-States <=50K
## 1265 United-States <=50K
## 1266 United-States <=50K
## 1267 United-States >50K
## 1268 United-States <=50K
## 1269 United-States <=50K
## 1270 United-States <=50K
## 1271 United-States <=50K
## 1272 United-States <=50K
## 1273 United-States <=50K
## 1274 United-States <=50K
## 1275 United-States <=50K
## 1276 United-States >50K
## 1277 United-States >50K
## 1278 United-States >50K
## 1279 United-States <=50K
## 1280 United-States <=50K
## 1281 United-States <=50K
## 1282 Philippines >50K
## 1283 United-States >50K
## 1284 United-States <=50K
## 1285 United-States >50K
## 1286 United-States <=50K
## 1287 United-States >50K
## 1288 United-States <=50K
## 1289 United-States <=50K
## 1290 United-States <=50K
## 1291 United-States <=50K
## 1292 El-Salvador <=50K
## 1293 United-States <=50K
## 1294 United-States <=50K
## 1295 United-States <=50K
## 1296 United-States <=50K
## 1297 United-States <=50K
## 1298 United-States <=50K
## 1299 United-States <=50K
## 1300 United-States <=50K
## 1301 United-States <=50K
## 1302 Japan <=50K
## 1303 United-States >50K
## 1304 United-States <=50K
## 1305 United-States <=50K
## 1306 United-States >50K
## 1307 United-States <=50K
## 1308 Mexico <=50K
## 1309 United-States <=50K
## 1310 United-States >50K
## 1311 United-States <=50K
## 1312 United-States <=50K
## 1313 United-States <=50K
## 1314 United-States <=50K
## 1315 Canada >50K
## 1316 United-States <=50K
## 1317 United-States >50K
## 1318 United-States <=50K
## 1319 United-States >50K
## 1320 United-States >50K
## 1321 United-States <=50K
## 1322 United-States <=50K
## 1323 United-States >50K
## 1324 United-States >50K
## 1325 United-States >50K
## 1326 United-States <=50K
## 1327 ? <=50K
## 1328 India >50K
## 1329 United-States <=50K
## 1330 United-States <=50K
## 1331 United-States <=50K
## 1332 United-States <=50K
## 1333 United-States <=50K
## 1334 United-States <=50K
## 1335 United-States >50K
## 1336 United-States <=50K
## 1337 United-States <=50K
## 1338 United-States >50K
## 1339 United-States <=50K
## 1340 United-States <=50K
## 1341 United-States <=50K
## 1342 United-States <=50K
## 1343 United-States <=50K
## 1344 United-States <=50K
## 1345 United-States <=50K
## 1346 United-States <=50K
## 1347 Germany >50K
## 1348 United-States <=50K
## 1349 ? >50K
## 1350 United-States <=50K
## 1351 United-States >50K
## 1352 United-States >50K
## 1353 United-States <=50K
## 1354 United-States <=50K
## 1355 United-States <=50K
## 1356 United-States >50K
## 1357 United-States <=50K
## 1358 United-States <=50K
## 1359 United-States <=50K
## 1360 United-States <=50K
## 1361 United-States <=50K
## 1362 United-States >50K
## 1363 United-States <=50K
## 1364 Italy <=50K
## 1365 United-States <=50K
## 1366 United-States <=50K
## 1367 United-States <=50K
## 1368 United-States <=50K
## 1369 Japan >50K
## 1370 United-States <=50K
## 1371 United-States <=50K
## 1372 United-States <=50K
## 1373 Poland <=50K
## 1374 United-States <=50K
## 1375 United-States <=50K
## 1376 United-States <=50K
## 1377 United-States <=50K
## 1378 United-States <=50K
## 1379 United-States >50K
## 1380 Canada <=50K
## 1381 United-States <=50K
## 1382 United-States <=50K
## 1383 United-States <=50K
## 1384 United-States <=50K
## 1385 United-States <=50K
## 1386 United-States <=50K
## 1387 United-States <=50K
## 1388 Iran >50K
## 1389 United-States <=50K
## 1390 United-States <=50K
## 1391 United-States <=50K
## 1392 ? >50K
## 1393 United-States <=50K
## 1394 United-States <=50K
## 1395 United-States <=50K
## 1396 United-States >50K
## 1397 United-States <=50K
## 1398 United-States <=50K
## 1399 United-States <=50K
## 1400 United-States >50K
## 1401 United-States <=50K
## 1402 United-States <=50K
## 1403 United-States <=50K
## 1404 United-States <=50K
## 1405 United-States <=50K
## 1406 United-States >50K
## 1407 United-States <=50K
## 1408 United-States >50K
## 1409 United-States <=50K
## 1410 United-States <=50K
## 1411 United-States <=50K
## 1412 Thailand <=50K
## 1413 United-States >50K
## 1414 United-States >50K
## 1415 United-States <=50K
## 1416 United-States <=50K
## 1417 United-States <=50K
## 1418 United-States >50K
## 1419 United-States >50K
## 1420 United-States <=50K
## 1421 United-States <=50K
## 1422 United-States <=50K
## 1423 United-States <=50K
## 1424 United-States <=50K
## 1425 United-States <=50K
## 1426 Germany <=50K
## 1427 United-States >50K
## 1428 United-States <=50K
## 1429 United-States <=50K
## 1430 United-States >50K
## 1431 Peru <=50K
## 1432 United-States <=50K
## 1433 United-States >50K
## 1434 United-States <=50K
## 1435 United-States <=50K
## 1436 United-States <=50K
## 1437 Mexico <=50K
## 1438 United-States >50K
## 1439 United-States <=50K
## 1440 United-States >50K
## 1441 United-States <=50K
## 1442 United-States <=50K
## 1443 United-States >50K
## 1444 United-States <=50K
## 1445 United-States >50K
## 1446 United-States <=50K
## 1447 United-States <=50K
## 1448 United-States <=50K
## 1449 United-States >50K
## 1450 United-States >50K
## 1451 United-States <=50K
## 1452 United-States <=50K
## 1453 United-States <=50K
## 1454 United-States >50K
## 1455 United-States >50K
## 1456 United-States <=50K
## 1457 United-States <=50K
## 1458 United-States <=50K
## 1459 United-States <=50K
## 1460 United-States >50K
## 1461 United-States >50K
## 1462 United-States <=50K
## 1463 United-States >50K
## 1464 United-States >50K
## 1465 United-States <=50K
## 1466 United-States <=50K
## 1467 United-States <=50K
## 1468 United-States <=50K
## 1469 United-States <=50K
## 1470 United-States >50K
## 1471 United-States >50K
## 1472 United-States <=50K
## 1473 United-States <=50K
## 1474 United-States <=50K
## 1475 United-States <=50K
## 1476 United-States <=50K
## 1477 United-States <=50K
## 1478 United-States <=50K
## 1479 United-States <=50K
## 1480 United-States <=50K
## 1481 United-States <=50K
## 1482 United-States >50K
## 1483 United-States >50K
## 1484 United-States <=50K
## 1485 United-States >50K
## 1486 Mexico <=50K
## 1487 United-States <=50K
## 1488 United-States <=50K
## 1489 United-States <=50K
## 1490 United-States >50K
## 1491 United-States <=50K
## 1492 United-States <=50K
## 1493 United-States >50K
## 1494 United-States >50K
## 1495 United-States <=50K
## 1496 United-States >50K
## 1497 United-States >50K
## 1498 United-States <=50K
## 1499 United-States >50K
## 1500 United-States <=50K
## 1501 United-States >50K
## 1502 United-States <=50K
## 1503 United-States <=50K
## 1504 United-States >50K
## 1505 United-States <=50K
## 1506 United-States <=50K
## 1507 United-States <=50K
## 1508 United-States <=50K
## 1509 United-States <=50K
## 1510 United-States <=50K
## 1511 United-States <=50K
## 1512 United-States >50K
## 1513 United-States >50K
## 1514 United-States <=50K
## 1515 England >50K
## 1516 China <=50K
## 1517 United-States >50K
## 1518 United-States <=50K
## 1519 United-States <=50K
## 1520 United-States <=50K
## 1521 United-States <=50K
## 1522 United-States <=50K
## 1523 United-States <=50K
## 1524 United-States <=50K
## 1525 United-States <=50K
## 1526 United-States <=50K
## 1527 United-States <=50K
## 1528 United-States <=50K
## 1529 United-States >50K
## 1530 United-States <=50K
## 1531 United-States <=50K
## 1532 United-States >50K
## 1533 United-States >50K
## 1534 United-States >50K
## 1535 United-States <=50K
## 1536 United-States <=50K
## 1537 United-States <=50K
## 1538 United-States <=50K
## 1539 United-States <=50K
## 1540 United-States <=50K
## 1541 United-States <=50K
## 1542 United-States <=50K
## 1543 United-States <=50K
## 1544 United-States <=50K
## 1545 United-States <=50K
## 1546 United-States <=50K
## 1547 United-States <=50K
## 1548 United-States <=50K
## 1549 United-States >50K
## 1550 United-States <=50K
## 1551 United-States <=50K
## 1552 United-States <=50K
## 1553 United-States <=50K
## 1554 United-States <=50K
## 1555 ? >50K
## 1556 United-States <=50K
## 1557 United-States <=50K
## 1558 ? <=50K
## 1559 United-States <=50K
## 1560 United-States <=50K
## 1561 United-States <=50K
## 1562 United-States <=50K
## 1563 United-States >50K
## 1564 United-States <=50K
## 1565 United-States <=50K
## 1566 Outlying-US(Guam-USVI-etc) <=50K
## 1567 United-States <=50K
## 1568 United-States <=50K
## 1569 United-States <=50K
## 1570 United-States <=50K
## 1571 Jamaica <=50K
## 1572 United-States >50K
## 1573 United-States <=50K
## 1574 United-States <=50K
## 1575 United-States <=50K
## 1576 United-States <=50K
## 1577 United-States <=50K
## 1578 United-States <=50K
## 1579 United-States <=50K
## 1580 United-States <=50K
## 1581 United-States >50K
## 1582 ? <=50K
## 1583 United-States <=50K
## 1584 United-States >50K
## 1585 United-States <=50K
## 1586 United-States >50K
## 1587 Scotland <=50K
## 1588 United-States <=50K
## 1589 United-States <=50K
## 1590 United-States <=50K
## 1591 United-States <=50K
## 1592 United-States <=50K
## 1593 United-States <=50K
## 1594 ? >50K
## 1595 United-States <=50K
## 1596 United-States >50K
## 1597 United-States <=50K
## 1598 United-States <=50K
## 1599 United-States <=50K
## 1600 United-States <=50K
## 1601 United-States <=50K
## 1602 United-States <=50K
## 1603 United-States <=50K
## 1604 United-States >50K
## 1605 United-States <=50K
## 1606 United-States <=50K
## 1607 United-States <=50K
## 1608 United-States <=50K
## 1609 United-States <=50K
## 1610 Philippines <=50K
## 1611 United-States <=50K
## 1612 United-States >50K
## 1613 England >50K
## 1614 United-States >50K
## 1615 United-States <=50K
## 1616 United-States >50K
## 1617 United-States >50K
## 1618 United-States <=50K
## 1619 United-States <=50K
## 1620 United-States <=50K
## 1621 United-States >50K
## 1622 United-States >50K
## 1623 Philippines <=50K
## 1624 United-States <=50K
## 1625 United-States <=50K
## 1626 United-States >50K
## 1627 United-States <=50K
## 1628 United-States >50K
## 1629 United-States <=50K
## 1630 Haiti <=50K
## 1631 Mexico <=50K
## 1632 United-States <=50K
## 1633 United-States >50K
## 1634 Mexico <=50K
## 1635 Mexico <=50K
## 1636 United-States >50K
## 1637 United-States <=50K
## 1638 United-States <=50K
## 1639 United-States >50K
## 1640 United-States >50K
## 1641 United-States <=50K
## 1642 United-States >50K
## 1643 United-States >50K
## 1644 United-States >50K
## 1645 United-States <=50K
## 1646 United-States >50K
## 1647 United-States <=50K
## 1648 United-States <=50K
## 1649 United-States >50K
## 1650 United-States <=50K
## 1651 United-States <=50K
## 1652 United-States <=50K
## 1653 United-States <=50K
## 1654 United-States <=50K
## 1655 United-States >50K
## 1656 Italy >50K
## 1657 United-States <=50K
## 1658 United-States <=50K
## 1659 United-States <=50K
## 1660 United-States <=50K
## 1661 United-States <=50K
## 1662 United-States >50K
## 1663 United-States <=50K
## 1664 Cuba <=50K
## 1665 United-States <=50K
## 1666 United-States <=50K
## 1667 United-States >50K
## 1668 United-States <=50K
## 1669 United-States <=50K
## 1670 United-States >50K
## 1671 United-States >50K
## 1672 United-States <=50K
## 1673 United-States <=50K
## 1674 United-States <=50K
## 1675 Italy >50K
## 1676 United-States <=50K
## 1677 ? >50K
## 1678 United-States <=50K
## 1679 United-States <=50K
## 1680 United-States <=50K
## 1681 United-States <=50K
## 1682 United-States <=50K
## 1683 United-States >50K
## 1684 United-States <=50K
## 1685 United-States <=50K
## 1686 United-States >50K
## 1687 United-States <=50K
## 1688 United-States >50K
## 1689 Canada <=50K
## 1690 United-States >50K
## 1691 United-States <=50K
## 1692 United-States <=50K
## 1693 United-States <=50K
## 1694 United-States >50K
## 1695 United-States <=50K
## 1696 United-States >50K
## 1697 United-States <=50K
## 1698 United-States <=50K
## 1699 United-States <=50K
## 1700 United-States <=50K
## 1701 United-States <=50K
## 1702 United-States <=50K
## 1703 United-States <=50K
## 1704 United-States <=50K
## 1705 United-States <=50K
## 1706 United-States <=50K
## 1707 United-States >50K
## 1708 United-States <=50K
## 1709 China <=50K
## 1710 United-States >50K
## 1711 United-States <=50K
## 1712 ? <=50K
## 1713 United-States <=50K
## 1714 United-States >50K
## 1715 United-States <=50K
## 1716 United-States <=50K
## 1717 United-States <=50K
## 1718 China >50K
## 1719 United-States >50K
## 1720 United-States <=50K
## 1721 United-States <=50K
## 1722 United-States <=50K
## 1723 United-States >50K
## 1724 United-States >50K
## 1725 United-States <=50K
## 1726 United-States <=50K
## 1727 United-States >50K
## 1728 United-States <=50K
## 1729 United-States >50K
## 1730 United-States <=50K
## 1731 United-States <=50K
## 1732 United-States <=50K
## 1733 United-States <=50K
## 1734 United-States <=50K
## 1735 United-States <=50K
## 1736 United-States >50K
## 1737 United-States <=50K
## 1738 United-States <=50K
## 1739 ? >50K
## 1740 United-States <=50K
## 1741 United-States >50K
## 1742 United-States <=50K
## 1743 United-States <=50K
## 1744 United-States <=50K
## 1745 United-States <=50K
## 1746 United-States <=50K
## 1747 United-States <=50K
## 1748 United-States <=50K
## 1749 United-States <=50K
## 1750 United-States <=50K
## 1751 United-States <=50K
## 1752 United-States <=50K
## 1753 United-States <=50K
## 1754 United-States <=50K
## 1755 United-States >50K
## 1756 United-States <=50K
## 1757 Japan <=50K
## 1758 United-States <=50K
## 1759 United-States <=50K
## 1760 United-States <=50K
## 1761 United-States >50K
## 1762 United-States <=50K
## 1763 United-States <=50K
## 1764 United-States <=50K
## 1765 United-States >50K
## 1766 United-States >50K
## 1767 United-States <=50K
## 1768 United-States <=50K
## 1769 United-States <=50K
## 1770 United-States >50K
## 1771 United-States <=50K
## 1772 United-States >50K
## 1773 United-States >50K
## 1774 United-States <=50K
## 1775 United-States >50K
## 1776 United-States <=50K
## 1777 United-States <=50K
## 1778 United-States <=50K
## 1779 United-States <=50K
## 1780 United-States >50K
## 1781 United-States >50K
## 1782 United-States <=50K
## 1783 United-States <=50K
## 1784 United-States >50K
## 1785 United-States <=50K
## 1786 United-States >50K
## 1787 United-States >50K
## 1788 United-States >50K
## 1789 United-States <=50K
## 1790 Puerto-Rico <=50K
## 1791 United-States <=50K
## 1792 United-States <=50K
## 1793 United-States <=50K
## 1794 Philippines <=50K
## 1795 Trinadad&Tobago <=50K
## 1796 United-States >50K
## 1797 United-States <=50K
## 1798 United-States <=50K
## 1799 United-States >50K
## 1800 United-States <=50K
## 1801 United-States <=50K
## 1802 United-States <=50K
## 1803 United-States <=50K
## 1804 United-States >50K
## 1805 United-States <=50K
## 1806 United-States <=50K
## 1807 United-States <=50K
## 1808 United-States <=50K
## 1809 United-States <=50K
## 1810 United-States <=50K
## 1811 United-States <=50K
## 1812 United-States >50K
## 1813 United-States >50K
## 1814 United-States <=50K
## 1815 United-States >50K
## 1816 United-States <=50K
## 1817 United-States <=50K
## 1818 United-States <=50K
## 1819 ? <=50K
## 1820 United-States >50K
## 1821 Mexico <=50K
## 1822 United-States <=50K
## 1823 United-States <=50K
## 1824 United-States <=50K
## 1825 United-States >50K
## 1826 United-States >50K
## 1827 Dominican-Republic >50K
## 1828 United-States <=50K
## 1829 United-States <=50K
## 1830 United-States <=50K
## 1831 United-States <=50K
## 1832 United-States <=50K
## 1833 United-States <=50K
## 1834 United-States <=50K
## 1835 United-States <=50K
## 1836 United-States <=50K
## 1837 United-States <=50K
## 1838 United-States <=50K
## 1839 United-States <=50K
## 1840 Philippines <=50K
## 1841 United-States <=50K
## 1842 United-States <=50K
## 1843 United-States <=50K
## 1844 United-States <=50K
## 1845 United-States <=50K
## 1846 United-States <=50K
## 1847 United-States <=50K
## 1848 Puerto-Rico <=50K
## 1849 United-States <=50K
## 1850 United-States >50K
## 1851 United-States <=50K
## 1852 United-States <=50K
## 1853 United-States <=50K
## 1854 United-States <=50K
## 1855 United-States <=50K
## 1856 United-States <=50K
## 1857 United-States <=50K
## 1858 United-States <=50K
## 1859 United-States <=50K
## 1860 United-States >50K
## 1861 United-States <=50K
## 1862 United-States <=50K
## 1863 United-States >50K
## 1864 United-States <=50K
## 1865 United-States >50K
## 1866 United-States <=50K
## 1867 United-States <=50K
## 1868 United-States <=50K
## 1869 United-States <=50K
## 1870 United-States >50K
## 1871 United-States <=50K
## 1872 United-States <=50K
## 1873 United-States >50K
## 1874 United-States <=50K
## 1875 United-States <=50K
## 1876 United-States >50K
## 1877 United-States >50K
## 1878 United-States <=50K
## 1879 United-States <=50K
## 1880 United-States <=50K
## 1881 El-Salvador <=50K
## 1882 United-States >50K
## 1883 Italy >50K
## 1884 United-States <=50K
## 1885 United-States <=50K
## 1886 United-States <=50K
## 1887 United-States <=50K
## 1888 United-States >50K
## 1889 Greece <=50K
## 1890 United-States <=50K
## 1891 United-States <=50K
## 1892 United-States <=50K
## 1893 United-States <=50K
## 1894 United-States >50K
## 1895 United-States <=50K
## 1896 United-States >50K
## 1897 United-States <=50K
## 1898 United-States <=50K
## 1899 United-States <=50K
## 1900 United-States <=50K
## 1901 ? <=50K
## 1902 United-States <=50K
## 1903 United-States <=50K
## 1904 United-States <=50K
## 1905 United-States >50K
## 1906 United-States >50K
## 1907 United-States <=50K
## 1908 United-States <=50K
## 1909 United-States <=50K
## 1910 United-States <=50K
## 1911 United-States <=50K
## 1912 United-States <=50K
## 1913 United-States <=50K
## 1914 Mexico <=50K
## 1915 United-States <=50K
## 1916 United-States >50K
## 1917 United-States <=50K
## 1918 United-States <=50K
## 1919 United-States <=50K
## 1920 United-States <=50K
## 1921 United-States <=50K
## 1922 United-States >50K
## 1923 United-States >50K
## 1924 United-States <=50K
## 1925 United-States <=50K
## 1926 United-States >50K
## 1927 United-States <=50K
## 1928 United-States <=50K
## 1929 United-States <=50K
## 1930 United-States <=50K
## 1931 United-States <=50K
## 1932 United-States <=50K
## 1933 China <=50K
## 1934 United-States >50K
## 1935 United-States <=50K
## 1936 United-States <=50K
## 1937 United-States <=50K
## 1938 United-States <=50K
## 1939 Canada >50K
## 1940 United-States <=50K
## 1941 United-States <=50K
## 1942 United-States <=50K
## 1943 United-States <=50K
## 1944 United-States >50K
## 1945 United-States <=50K
## 1946 United-States >50K
## 1947 United-States <=50K
## 1948 United-States <=50K
## 1949 Nicaragua <=50K
## 1950 United-States >50K
## 1951 United-States <=50K
## 1952 United-States <=50K
## 1953 United-States <=50K
## 1954 United-States <=50K
## 1955 United-States <=50K
## 1956 United-States <=50K
## 1957 United-States <=50K
## 1958 United-States <=50K
## 1959 United-States <=50K
## 1960 United-States >50K
## 1961 United-States <=50K
## 1962 United-States >50K
## 1963 United-States >50K
## 1964 United-States >50K
## 1965 United-States <=50K
## 1966 United-States <=50K
## 1967 United-States <=50K
## 1968 United-States <=50K
## 1969 United-States <=50K
## 1970 South >50K
## 1971 United-States <=50K
## 1972 United-States <=50K
## 1973 United-States >50K
## 1974 Germany <=50K
## 1975 United-States <=50K
## 1976 Cambodia >50K
## 1977 United-States <=50K
## 1978 United-States <=50K
## 1979 United-States >50K
## 1980 United-States <=50K
## 1981 United-States <=50K
## 1982 United-States >50K
## 1983 United-States <=50K
## 1984 United-States >50K
## 1985 United-States >50K
## 1986 United-States <=50K
## 1987 United-States >50K
## 1988 United-States <=50K
## 1989 United-States <=50K
## 1990 United-States <=50K
## 1991 ? <=50K
## 1992 United-States <=50K
## 1993 United-States >50K
## 1994 United-States <=50K
## 1995 United-States >50K
## 1996 United-States <=50K
## 1997 United-States >50K
## 1998 United-States <=50K
## 1999 United-States >50K
## 2000 United-States <=50K
## 2001 United-States <=50K
## 2002 United-States <=50K
## 2003 United-States <=50K
## 2004 United-States >50K
## 2005 United-States <=50K
## 2006 United-States <=50K
## 2007 Jamaica <=50K
## 2008 United-States <=50K
## 2009 United-States <=50K
## 2010 United-States <=50K
## 2011 United-States <=50K
## 2012 United-States <=50K
## 2013 United-States <=50K
## 2014 United-States <=50K
## 2015 United-States <=50K
## 2016 ? <=50K
## 2017 United-States <=50K
## 2018 United-States <=50K
## 2019 Cuba >50K
## 2020 United-States <=50K
## 2021 United-States <=50K
## 2022 England <=50K
## 2023 Nicaragua <=50K
## 2024 United-States <=50K
## 2025 United-States <=50K
## 2026 United-States <=50K
## 2027 United-States >50K
## 2028 United-States <=50K
## 2029 United-States <=50K
## 2030 United-States <=50K
## 2031 United-States >50K
## 2032 United-States >50K
## 2033 United-States <=50K
## 2034 United-States <=50K
## 2035 United-States <=50K
## 2036 United-States <=50K
## 2037 United-States <=50K
## 2038 United-States <=50K
## 2039 United-States <=50K
## 2040 United-States >50K
## 2041 United-States <=50K
## 2042 United-States <=50K
## 2043 United-States <=50K
## 2044 United-States >50K
## 2045 United-States <=50K
## 2046 United-States <=50K
## 2047 United-States <=50K
## 2048 United-States <=50K
## 2049 United-States >50K
## 2050 United-States <=50K
## 2051 United-States <=50K
## 2052 United-States >50K
## 2053 United-States <=50K
## 2054 Mexico <=50K
## 2055 United-States <=50K
## 2056 United-States <=50K
## 2057 United-States >50K
## 2058 United-States <=50K
## 2059 United-States <=50K
## 2060 Mexico <=50K
## 2061 United-States <=50K
## 2062 United-States <=50K
## 2063 United-States <=50K
## 2064 United-States >50K
## 2065 United-States <=50K
## 2066 Mexico <=50K
## 2067 United-States >50K
## 2068 United-States <=50K
## 2069 United-States >50K
## 2070 United-States <=50K
## 2071 United-States <=50K
## 2072 United-States <=50K
## 2073 United-States <=50K
## 2074 United-States >50K
## 2075 United-States >50K
## 2076 United-States <=50K
## 2077 United-States <=50K
## 2078 United-States <=50K
## 2079 United-States <=50K
## 2080 United-States <=50K
## 2081 United-States <=50K
## 2082 United-States >50K
## 2083 United-States <=50K
## 2084 United-States <=50K
## 2085 Honduras <=50K
## 2086 United-States >50K
## 2087 United-States >50K
## 2088 United-States <=50K
## 2089 United-States >50K
## 2090 United-States >50K
## 2091 United-States >50K
## 2092 United-States <=50K
## 2093 United-States <=50K
## 2094 United-States >50K
## 2095 United-States <=50K
## 2096 United-States >50K
## 2097 Japan <=50K
## 2098 United-States <=50K
## 2099 United-States >50K
## 2100 ? <=50K
## 2101 United-States >50K
## 2102 United-States <=50K
## 2103 United-States <=50K
## 2104 United-States >50K
## 2105 ? <=50K
## 2106 United-States <=50K
## 2107 United-States >50K
## 2108 Dominican-Republic <=50K
## 2109 United-States <=50K
## 2110 United-States >50K
## 2111 United-States >50K
## 2112 United-States <=50K
## 2113 United-States >50K
## 2114 United-States <=50K
## 2115 United-States <=50K
## 2116 United-States <=50K
## 2117 United-States <=50K
## 2118 United-States <=50K
## 2119 United-States <=50K
## 2120 United-States <=50K
## 2121 United-States <=50K
## 2122 United-States <=50K
## 2123 United-States <=50K
## 2124 United-States <=50K
## 2125 El-Salvador <=50K
## 2126 United-States <=50K
## 2127 United-States <=50K
## 2128 United-States <=50K
## 2129 Jamaica >50K
## 2130 United-States <=50K
## 2131 India <=50K
## 2132 United-States <=50K
## 2133 United-States <=50K
## 2134 United-States <=50K
## 2135 United-States <=50K
## 2136 United-States <=50K
## 2137 United-States <=50K
## 2138 Puerto-Rico <=50K
## 2139 United-States <=50K
## 2140 United-States >50K
## 2141 United-States <=50K
## 2142 United-States <=50K
## 2143 United-States <=50K
## 2144 United-States <=50K
## 2145 Puerto-Rico <=50K
## 2146 United-States <=50K
## 2147 United-States <=50K
## 2148 United-States <=50K
## 2149 United-States <=50K
## 2150 United-States <=50K
## 2151 United-States <=50K
## 2152 United-States <=50K
## 2153 United-States <=50K
## 2154 United-States >50K
## 2155 United-States <=50K
## 2156 United-States <=50K
## 2157 United-States <=50K
## 2158 United-States >50K
## 2159 United-States >50K
## 2160 Italy >50K
## 2161 United-States >50K
## 2162 United-States <=50K
## 2163 United-States <=50K
## 2164 United-States <=50K
## 2165 United-States >50K
## 2166 United-States <=50K
## 2167 United-States <=50K
## 2168 United-States >50K
## 2169 United-States <=50K
## 2170 United-States <=50K
## 2171 United-States <=50K
## 2172 United-States <=50K
## 2173 United-States <=50K
## 2174 United-States <=50K
## 2175 United-States <=50K
## 2176 United-States >50K
## 2177 United-States <=50K
## 2178 United-States <=50K
## 2179 United-States >50K
## 2180 United-States >50K
## 2181 United-States >50K
## 2182 ? >50K
## 2183 United-States >50K
## 2184 United-States <=50K
## 2185 United-States >50K
## 2186 United-States <=50K
## 2187 United-States <=50K
## 2188 United-States <=50K
## 2189 United-States <=50K
## 2190 United-States <=50K
## 2191 United-States >50K
## 2192 United-States <=50K
## 2193 United-States <=50K
## 2194 Mexico <=50K
## 2195 United-States <=50K
## 2196 United-States <=50K
## 2197 United-States >50K
## 2198 United-States <=50K
## 2199 United-States >50K
## 2200 United-States <=50K
## 2201 United-States <=50K
## 2202 United-States <=50K
## 2203 United-States <=50K
## 2204 United-States <=50K
## 2205 United-States <=50K
## 2206 United-States >50K
## 2207 United-States >50K
## 2208 United-States <=50K
## 2209 South <=50K
## 2210 United-States <=50K
## 2211 United-States <=50K
## 2212 United-States <=50K
## 2213 United-States <=50K
## 2214 United-States >50K
## 2215 United-States <=50K
## 2216 United-States >50K
## 2217 United-States <=50K
## 2218 United-States >50K
## 2219 United-States <=50K
## 2220 Mexico <=50K
## 2221 United-States <=50K
## 2222 United-States <=50K
## 2223 United-States <=50K
## 2224 United-States <=50K
## 2225 United-States <=50K
## 2226 United-States <=50K
## 2227 United-States <=50K
## 2228 United-States >50K
## 2229 United-States >50K
## 2230 Cuba <=50K
## 2231 United-States >50K
## 2232 United-States <=50K
## 2233 United-States <=50K
## 2234 Germany >50K
## 2235 United-States <=50K
## 2236 United-States <=50K
## 2237 United-States >50K
## 2238 United-States >50K
## 2239 United-States <=50K
## 2240 United-States <=50K
## 2241 United-States >50K
## 2242 United-States <=50K
## 2243 United-States >50K
## 2244 United-States >50K
## 2245 United-States <=50K
## 2246 United-States >50K
## 2247 United-States <=50K
## 2248 United-States <=50K
## 2249 United-States <=50K
## 2250 Philippines >50K
## 2251 United-States <=50K
## 2252 United-States <=50K
## 2253 United-States >50K
## 2254 United-States <=50K
## 2255 United-States >50K
## 2256 United-States <=50K
## 2257 United-States <=50K
## 2258 United-States <=50K
## 2259 United-States >50K
## 2260 Vietnam <=50K
## 2261 United-States <=50K
## 2262 United-States <=50K
## 2263 United-States <=50K
## 2264 United-States <=50K
## 2265 United-States <=50K
## 2266 United-States >50K
## 2267 Mexico <=50K
## 2268 United-States <=50K
## 2269 Poland <=50K
## 2270 United-States <=50K
## 2271 United-States <=50K
## 2272 United-States <=50K
## 2273 United-States <=50K
## 2274 United-States <=50K
## 2275 United-States <=50K
## 2276 United-States <=50K
## 2277 United-States <=50K
## 2278 United-States <=50K
## 2279 United-States <=50K
## 2280 United-States <=50K
## 2281 United-States <=50K
## 2282 United-States <=50K
## 2283 Mexico >50K
## 2284 United-States <=50K
## 2285 Canada <=50K
## 2286 United-States <=50K
## 2287 Taiwan >50K
## 2288 United-States >50K
## 2289 Haiti <=50K
## 2290 United-States <=50K
## 2291 United-States <=50K
## 2292 United-States <=50K
## 2293 United-States <=50K
## 2294 United-States >50K
## 2295 United-States <=50K
## 2296 United-States <=50K
## 2297 United-States <=50K
## 2298 United-States <=50K
## 2299 United-States <=50K
## 2300 United-States <=50K
## 2301 United-States <=50K
## 2302 United-States <=50K
## 2303 United-States <=50K
## 2304 United-States <=50K
## 2305 United-States >50K
## 2306 United-States >50K
## 2307 United-States <=50K
## 2308 United-States <=50K
## 2309 United-States >50K
## 2310 United-States <=50K
## 2311 United-States <=50K
## 2312 United-States >50K
## 2313 United-States >50K
## 2314 United-States <=50K
## 2315 United-States <=50K
## 2316 United-States <=50K
## 2317 United-States <=50K
## 2318 United-States <=50K
## 2319 United-States >50K
## 2320 United-States >50K
## 2321 United-States <=50K
## 2322 United-States >50K
## 2323 United-States <=50K
## 2324 China <=50K
## 2325 United-States >50K
## 2326 United-States >50K
## 2327 United-States <=50K
## 2328 Canada <=50K
## 2329 United-States <=50K
## 2330 United-States <=50K
## 2331 Philippines >50K
## 2332 United-States <=50K
## 2333 United-States >50K
## 2334 United-States <=50K
## 2335 United-States >50K
## 2336 United-States <=50K
## 2337 Guatemala <=50K
## 2338 United-States <=50K
## 2339 United-States <=50K
## 2340 Taiwan >50K
## 2341 United-States <=50K
## 2342 Canada <=50K
## 2343 Mexico <=50K
## 2344 United-States <=50K
## 2345 United-States >50K
## 2346 United-States >50K
## 2347 United-States <=50K
## 2348 United-States <=50K
## 2349 United-States >50K
## 2350 United-States <=50K
## 2351 United-States <=50K
## 2352 United-States >50K
## 2353 United-States >50K
## 2354 England <=50K
## 2355 United-States <=50K
## 2356 United-States <=50K
## 2357 United-States <=50K
## 2358 United-States >50K
## 2359 United-States <=50K
## 2360 United-States <=50K
## 2361 United-States <=50K
## 2362 United-States >50K
## 2363 United-States >50K
## 2364 United-States <=50K
## 2365 United-States <=50K
## 2366 United-States <=50K
## 2367 United-States <=50K
## 2368 United-States >50K
## 2369 United-States <=50K
## 2370 Mexico <=50K
## 2371 United-States <=50K
## 2372 ? <=50K
## 2373 United-States <=50K
## 2374 Poland <=50K
## 2375 England <=50K
## 2376 United-States <=50K
## 2377 United-States <=50K
## 2378 England >50K
## 2379 United-States <=50K
## 2380 United-States <=50K
## 2381 United-States <=50K
## 2382 United-States <=50K
## 2383 United-States <=50K
## 2384 United-States <=50K
## 2385 United-States <=50K
## 2386 United-States >50K
## 2387 United-States >50K
## 2388 United-States <=50K
## 2389 United-States <=50K
## 2390 United-States <=50K
## 2391 Canada >50K
## 2392 United-States <=50K
## 2393 United-States <=50K
## 2394 United-States <=50K
## 2395 United-States <=50K
## 2396 United-States <=50K
## 2397 United-States >50K
## 2398 United-States <=50K
## 2399 United-States <=50K
## 2400 United-States <=50K
## 2401 United-States <=50K
## 2402 United-States <=50K
## 2403 United-States <=50K
## 2404 United-States >50K
## 2405 United-States <=50K
## 2406 United-States <=50K
## 2407 United-States >50K
## 2408 United-States <=50K
## 2409 United-States <=50K
## 2410 United-States <=50K
## 2411 Mexico <=50K
## 2412 United-States <=50K
## 2413 Philippines <=50K
## 2414 United-States <=50K
## 2415 United-States >50K
## 2416 United-States >50K
## 2417 United-States <=50K
## 2418 United-States <=50K
## 2419 United-States <=50K
## 2420 United-States <=50K
## 2421 United-States >50K
## 2422 United-States <=50K
## 2423 United-States <=50K
## 2424 United-States <=50K
## 2425 United-States <=50K
## 2426 United-States >50K
## 2427 Greece >50K
## 2428 United-States <=50K
## 2429 United-States <=50K
## 2430 United-States <=50K
## 2431 United-States >50K
## 2432 United-States >50K
## 2433 China <=50K
## 2434 United-States >50K
## 2435 United-States <=50K
## 2436 United-States <=50K
## 2437 United-States <=50K
## 2438 United-States <=50K
## 2439 United-States <=50K
## 2440 United-States <=50K
## 2441 United-States <=50K
## 2442 Trinadad&Tobago <=50K
## 2443 United-States <=50K
## 2444 United-States <=50K
## 2445 United-States <=50K
## 2446 United-States <=50K
## 2447 Mexico <=50K
## 2448 United-States <=50K
## 2449 United-States <=50K
## 2450 United-States <=50K
## 2451 United-States <=50K
## 2452 United-States <=50K
## 2453 United-States <=50K
## 2454 United-States <=50K
## 2455 United-States <=50K
## 2456 United-States <=50K
## 2457 United-States <=50K
## 2458 United-States <=50K
## 2459 United-States <=50K
## 2460 United-States <=50K
## 2461 United-States >50K
## 2462 United-States <=50K
## 2463 United-States >50K
## 2464 United-States <=50K
## 2465 United-States <=50K
## 2466 United-States >50K
## 2467 United-States <=50K
## 2468 United-States <=50K
## 2469 United-States <=50K
## 2470 Dominican-Republic >50K
## 2471 United-States >50K
## 2472 United-States <=50K
## 2473 Canada >50K
## 2474 United-States >50K
## 2475 United-States <=50K
## 2476 United-States <=50K
## 2477 United-States <=50K
## 2478 United-States <=50K
## 2479 United-States <=50K
## 2480 United-States <=50K
## 2481 United-States <=50K
## 2482 United-States >50K
## 2483 United-States <=50K
## 2484 United-States <=50K
## 2485 United-States >50K
## 2486 United-States <=50K
## 2487 United-States <=50K
## 2488 United-States <=50K
## 2489 United-States <=50K
## 2490 United-States <=50K
## 2491 United-States <=50K
## 2492 United-States <=50K
## 2493 United-States <=50K
## 2494 United-States <=50K
## 2495 United-States <=50K
## 2496 United-States >50K
## 2497 United-States <=50K
## 2498 United-States >50K
## 2499 United-States >50K
## 2500 United-States <=50K
## 2501 United-States <=50K
## 2502 United-States <=50K
## 2503 Puerto-Rico <=50K
## 2504 United-States <=50K
## 2505 United-States <=50K
## 2506 United-States >50K
## 2507 United-States <=50K
## 2508 United-States <=50K
## 2509 United-States >50K
## 2510 United-States >50K
## 2511 United-States <=50K
## 2512 United-States <=50K
## 2513 ? >50K
## 2514 ? <=50K
## 2515 United-States >50K
## 2516 United-States <=50K
## 2517 United-States <=50K
## 2518 United-States >50K
## 2519 ? <=50K
## 2520 United-States <=50K
## 2521 United-States >50K
## 2522 United-States <=50K
## 2523 United-States <=50K
## 2524 United-States <=50K
## 2525 United-States <=50K
## 2526 United-States <=50K
## 2527 United-States <=50K
## 2528 United-States <=50K
## 2529 United-States <=50K
## 2530 United-States >50K
## 2531 United-States <=50K
## 2532 United-States <=50K
## 2533 United-States <=50K
## 2534 United-States <=50K
## 2535 United-States <=50K
## 2536 United-States <=50K
## 2537 United-States <=50K
## 2538 United-States <=50K
## 2539 United-States >50K
## 2540 United-States <=50K
## 2541 United-States <=50K
## 2542 United-States >50K
## 2543 United-States <=50K
## 2544 United-States <=50K
## 2545 United-States <=50K
## 2546 United-States <=50K
## 2547 United-States >50K
## 2548 United-States <=50K
## 2549 United-States <=50K
## 2550 ? <=50K
## 2551 United-States <=50K
## 2552 United-States <=50K
## 2553 United-States <=50K
## 2554 United-States <=50K
## 2555 United-States <=50K
## 2556 United-States <=50K
## 2557 United-States >50K
## 2558 United-States <=50K
## 2559 India <=50K
## 2560 United-States <=50K
## 2561 United-States >50K
## 2562 Haiti <=50K
## 2563 United-States <=50K
## 2564 United-States <=50K
## 2565 United-States <=50K
## 2566 United-States <=50K
## 2567 United-States <=50K
## 2568 United-States <=50K
## 2569 United-States <=50K
## 2570 United-States >50K
## 2571 United-States >50K
## 2572 United-States <=50K
## 2573 ? <=50K
## 2574 United-States <=50K
## 2575 United-States >50K
## 2576 United-States <=50K
## 2577 United-States >50K
## 2578 United-States <=50K
## 2579 United-States >50K
## 2580 United-States <=50K
## 2581 United-States >50K
## 2582 Dominican-Republic <=50K
## 2583 United-States <=50K
## 2584 United-States >50K
## 2585 Portugal <=50K
## 2586 United-States <=50K
## 2587 Germany <=50K
## 2588 ? <=50K
## 2589 United-States >50K
## 2590 United-States >50K
## 2591 Philippines <=50K
## 2592 ? <=50K
## 2593 United-States <=50K
## 2594 United-States >50K
## 2595 United-States <=50K
## 2596 United-States <=50K
## 2597 United-States <=50K
## 2598 United-States >50K
## 2599 United-States >50K
## 2600 United-States >50K
## 2601 United-States <=50K
## 2602 United-States <=50K
## 2603 United-States <=50K
## 2604 United-States >50K
## 2605 United-States <=50K
## 2606 United-States <=50K
## 2607 United-States <=50K
## 2608 United-States >50K
## 2609 United-States <=50K
## 2610 United-States <=50K
## 2611 United-States <=50K
## 2612 United-States <=50K
## 2613 United-States <=50K
## 2614 United-States <=50K
## 2615 United-States >50K
## 2616 United-States <=50K
## 2617 Mexico <=50K
## 2618 United-States <=50K
## 2619 United-States >50K
## 2620 United-States <=50K
## 2621 United-States >50K
## 2622 United-States <=50K
## 2623 United-States <=50K
## 2624 United-States <=50K
## 2625 United-States >50K
## 2626 United-States <=50K
## 2627 United-States >50K
## 2628 United-States <=50K
## 2629 United-States <=50K
## 2630 United-States <=50K
## 2631 United-States <=50K
## 2632 United-States >50K
## 2633 United-States <=50K
## 2634 United-States >50K
## 2635 United-States <=50K
## 2636 United-States <=50K
## 2637 United-States <=50K
## 2638 United-States >50K
## 2639 United-States >50K
## 2640 ? <=50K
## 2641 United-States <=50K
## 2642 United-States <=50K
## 2643 United-States <=50K
## 2644 United-States >50K
## 2645 United-States <=50K
## 2646 United-States <=50K
## 2647 Nicaragua <=50K
## 2648 Dominican-Republic <=50K
## 2649 United-States <=50K
## 2650 United-States <=50K
## 2651 United-States <=50K
## 2652 United-States <=50K
## 2653 Iran >50K
## 2654 Vietnam <=50K
## 2655 United-States <=50K
## 2656 Hong <=50K
## 2657 United-States <=50K
## 2658 United-States <=50K
## 2659 United-States <=50K
## 2660 Columbia <=50K
## 2661 United-States >50K
## 2662 United-States <=50K
## 2663 United-States <=50K
## 2664 United-States >50K
## 2665 United-States >50K
## 2666 United-States >50K
## 2667 United-States <=50K
## 2668 Mexico <=50K
## 2669 Cuba <=50K
## 2670 United-States >50K
## 2671 United-States >50K
## 2672 United-States <=50K
## 2673 United-States <=50K
## 2674 United-States <=50K
## 2675 Mexico <=50K
## 2676 United-States <=50K
## 2677 United-States <=50K
## 2678 United-States <=50K
## 2679 United-States <=50K
## 2680 United-States <=50K
## 2681 El-Salvador <=50K
## 2682 United-States <=50K
## 2683 United-States <=50K
## 2684 United-States >50K
## 2685 United-States <=50K
## 2686 United-States <=50K
## 2687 United-States <=50K
## 2688 United-States >50K
## 2689 United-States <=50K
## 2690 United-States <=50K
## 2691 United-States <=50K
## 2692 United-States <=50K
## 2693 United-States <=50K
## 2694 United-States <=50K
## 2695 United-States <=50K
## 2696 United-States >50K
## 2697 United-States <=50K
## 2698 United-States <=50K
## 2699 United-States <=50K
## 2700 United-States <=50K
## 2701 United-States <=50K
## 2702 United-States <=50K
## 2703 United-States <=50K
## 2704 United-States <=50K
## 2705 United-States <=50K
## 2706 United-States <=50K
## 2707 United-States <=50K
## 2708 United-States >50K
## 2709 United-States <=50K
## 2710 United-States <=50K
## 2711 United-States >50K
## 2712 United-States <=50K
## 2713 United-States <=50K
## 2714 United-States >50K
## 2715 United-States <=50K
## 2716 United-States <=50K
## 2717 United-States >50K
## 2718 ? <=50K
## 2719 United-States <=50K
## 2720 United-States >50K
## 2721 United-States <=50K
## 2722 United-States >50K
## 2723 Mexico <=50K
## 2724 United-States <=50K
## 2725 United-States >50K
## 2726 United-States >50K
## 2727 United-States >50K
## 2728 United-States <=50K
## 2729 United-States <=50K
## 2730 United-States <=50K
## 2731 United-States <=50K
## 2732 United-States >50K
## 2733 United-States <=50K
## 2734 United-States <=50K
## 2735 United-States >50K
## 2736 ? <=50K
## 2737 United-States >50K
## 2738 United-States <=50K
## 2739 United-States >50K
## 2740 United-States <=50K
## 2741 United-States >50K
## 2742 United-States <=50K
## 2743 United-States <=50K
## 2744 United-States <=50K
## 2745 United-States >50K
## 2746 United-States <=50K
## 2747 United-States <=50K
## 2748 United-States <=50K
## 2749 United-States <=50K
## 2750 Nicaragua <=50K
## 2751 United-States <=50K
## 2752 United-States <=50K
## 2753 Greece >50K
## 2754 United-States >50K
## 2755 United-States <=50K
## 2756 Mexico <=50K
## 2757 United-States >50K
## 2758 United-States <=50K
## 2759 United-States <=50K
## 2760 United-States >50K
## 2761 United-States <=50K
## 2762 United-States <=50K
## 2763 United-States >50K
## 2764 United-States <=50K
## 2765 United-States <=50K
## 2766 United-States <=50K
## 2767 United-States <=50K
## 2768 Canada >50K
## 2769 United-States <=50K
## 2770 United-States <=50K
## 2771 United-States <=50K
## 2772 United-States <=50K
## 2773 United-States <=50K
## 2774 United-States <=50K
## 2775 United-States >50K
## 2776 ? >50K
## 2777 United-States <=50K
## 2778 United-States <=50K
## 2779 United-States <=50K
## 2780 Greece <=50K
## 2781 United-States <=50K
## 2782 United-States >50K
## 2783 United-States <=50K
## 2784 United-States >50K
## 2785 United-States <=50K
## 2786 United-States <=50K
## 2787 United-States <=50K
## 2788 United-States <=50K
## 2789 Germany <=50K
## 2790 United-States <=50K
## 2791 Cuba <=50K
## 2792 United-States <=50K
## 2793 United-States <=50K
## 2794 United-States <=50K
## 2795 ? <=50K
## 2796 United-States <=50K
## 2797 United-States >50K
## 2798 United-States <=50K
## 2799 United-States <=50K
## 2800 United-States <=50K
## 2801 United-States >50K
## 2802 United-States <=50K
## 2803 United-States <=50K
## 2804 United-States <=50K
## 2805 United-States <=50K
## 2806 United-States <=50K
## 2807 United-States <=50K
## 2808 United-States <=50K
## 2809 United-States <=50K
## 2810 United-States <=50K
## 2811 United-States <=50K
## 2812 United-States <=50K
## 2813 United-States <=50K
## 2814 United-States <=50K
## 2815 United-States <=50K
## 2816 Mexico <=50K
## 2817 United-States <=50K
## 2818 Mexico >50K
## 2819 United-States <=50K
## 2820 United-States <=50K
## 2821 United-States <=50K
## 2822 United-States <=50K
## 2823 United-States <=50K
## 2824 United-States <=50K
## 2825 United-States <=50K
## 2826 United-States <=50K
## 2827 United-States <=50K
## 2828 United-States <=50K
## 2829 United-States >50K
## 2830 United-States >50K
## 2831 United-States <=50K
## 2832 United-States <=50K
## 2833 United-States >50K
## 2834 United-States >50K
## 2835 Japan <=50K
## 2836 United-States <=50K
## 2837 United-States <=50K
## 2838 United-States <=50K
## 2839 United-States <=50K
## 2840 United-States <=50K
## 2841 United-States >50K
## 2842 United-States <=50K
## 2843 United-States <=50K
## 2844 United-States >50K
## 2845 United-States >50K
## 2846 United-States >50K
## 2847 United-States <=50K
## 2848 United-States <=50K
## 2849 United-States >50K
## 2850 United-States <=50K
## 2851 United-States <=50K
## 2852 United-States <=50K
## 2853 United-States <=50K
## 2854 United-States <=50K
## 2855 United-States <=50K
## 2856 United-States <=50K
## 2857 United-States <=50K
## 2858 Canada <=50K
## 2859 United-States <=50K
## 2860 United-States >50K
## 2861 United-States >50K
## 2862 El-Salvador <=50K
## 2863 United-States <=50K
## 2864 United-States <=50K
## 2865 United-States <=50K
## 2866 United-States <=50K
## 2867 United-States <=50K
## 2868 United-States <=50K
## 2869 United-States <=50K
## 2870 United-States <=50K
## 2871 United-States <=50K
## 2872 United-States >50K
## 2873 United-States <=50K
## 2874 United-States <=50K
## 2875 United-States >50K
## 2876 United-States <=50K
## 2877 Mexico <=50K
## 2878 United-States <=50K
## 2879 United-States <=50K
## 2880 United-States <=50K
## 2881 United-States <=50K
## 2882 United-States <=50K
## 2883 United-States <=50K
## 2884 United-States >50K
## 2885 United-States <=50K
## 2886 United-States <=50K
## 2887 United-States >50K
## 2888 United-States <=50K
## 2889 United-States <=50K
## 2890 United-States <=50K
## 2891 United-States <=50K
## 2892 Puerto-Rico <=50K
## 2893 United-States <=50K
## 2894 United-States <=50K
## 2895 United-States >50K
## 2896 United-States <=50K
## 2897 United-States >50K
## 2898 United-States <=50K
## 2899 Taiwan <=50K
## 2900 Germany <=50K
## 2901 Italy >50K
## 2902 United-States >50K
## 2903 United-States <=50K
## 2904 United-States <=50K
## 2905 United-States <=50K
## 2906 United-States <=50K
## 2907 United-States <=50K
## 2908 United-States <=50K
## 2909 United-States <=50K
## 2910 ? >50K
## 2911 United-States <=50K
## 2912 United-States <=50K
## 2913 United-States <=50K
## 2914 United-States <=50K
## 2915 United-States <=50K
## 2916 United-States <=50K
## 2917 United-States <=50K
## 2918 United-States >50K
## 2919 United-States <=50K
## 2920 United-States >50K
## 2921 United-States <=50K
## 2922 United-States <=50K
## 2923 United-States <=50K
## 2924 United-States <=50K
## 2925 Canada <=50K
## 2926 United-States >50K
## 2927 ? <=50K
## 2928 United-States <=50K
## 2929 United-States <=50K
## 2930 United-States <=50K
## 2931 United-States <=50K
## 2932 United-States <=50K
## 2933 United-States <=50K
## 2934 Italy >50K
## 2935 United-States <=50K
## 2936 United-States <=50K
## 2937 United-States <=50K
## 2938 United-States <=50K
## 2939 United-States <=50K
## 2940 United-States <=50K
## 2941 United-States <=50K
## 2942 United-States >50K
## 2943 United-States <=50K
## 2944 United-States <=50K
## 2945 United-States <=50K
## 2946 United-States <=50K
## 2947 Mexico <=50K
## 2948 United-States <=50K
## 2949 United-States >50K
## 2950 United-States <=50K
## 2951 United-States >50K
## 2952 United-States <=50K
## 2953 United-States <=50K
## 2954 United-States <=50K
## 2955 United-States <=50K
## 2956 United-States <=50K
## 2957 United-States >50K
## 2958 United-States <=50K
## 2959 United-States <=50K
## 2960 United-States <=50K
## 2961 United-States <=50K
## 2962 United-States <=50K
## 2963 United-States >50K
## 2964 United-States <=50K
## 2965 United-States <=50K
## 2966 United-States >50K
## 2967 Ireland <=50K
## 2968 United-States <=50K
## 2969 United-States >50K
## 2970 United-States <=50K
## 2971 Mexico <=50K
## 2972 United-States >50K
## 2973 United-States <=50K
## 2974 United-States >50K
## 2975 United-States <=50K
## 2976 United-States <=50K
## 2977 United-States <=50K
## 2978 United-States >50K
## 2979 United-States <=50K
## 2980 United-States <=50K
## 2981 United-States >50K
## 2982 United-States <=50K
## 2983 United-States <=50K
## 2984 United-States <=50K
## 2985 United-States <=50K
## 2986 United-States <=50K
## 2987 United-States >50K
## 2988 United-States <=50K
## 2989 United-States <=50K
## 2990 India <=50K
## 2991 United-States <=50K
## 2992 United-States <=50K
## 2993 Columbia <=50K
## 2994 United-States <=50K
## 2995 Japan <=50K
## 2996 United-States <=50K
## 2997 United-States <=50K
## 2998 United-States <=50K
## 2999 Mexico <=50K
## 3000 United-States <=50K
## 3001 United-States <=50K
## 3002 United-States <=50K
## 3003 United-States <=50K
## 3004 United-States <=50K
## 3005 United-States <=50K
## 3006 United-States <=50K
## 3007 United-States <=50K
## 3008 United-States <=50K
## 3009 United-States <=50K
## 3010 United-States <=50K
## 3011 United-States <=50K
## 3012 United-States >50K
## 3013 United-States >50K
## 3014 United-States >50K
## 3015 United-States >50K
## 3016 United-States <=50K
## 3017 United-States <=50K
## 3018 United-States >50K
## 3019 United-States <=50K
## 3020 United-States <=50K
## 3021 United-States >50K
## 3022 Philippines >50K
## 3023 United-States >50K
## 3024 ? <=50K
## 3025 United-States <=50K
## 3026 England <=50K
## 3027 United-States <=50K
## 3028 United-States >50K
## 3029 United-States <=50K
## 3030 United-States <=50K
## 3031 United-States <=50K
## 3032 United-States <=50K
## 3033 United-States >50K
## 3034 United-States <=50K
## 3035 United-States <=50K
## 3036 United-States >50K
## 3037 United-States <=50K
## 3038 United-States <=50K
## 3039 United-States <=50K
## 3040 United-States >50K
## 3041 United-States >50K
## 3042 United-States <=50K
## 3043 United-States <=50K
## 3044 Mexico <=50K
## 3045 United-States <=50K
## 3046 United-States <=50K
## 3047 United-States <=50K
## 3048 United-States <=50K
## 3049 United-States <=50K
## 3050 United-States >50K
## 3051 United-States >50K
## 3052 United-States <=50K
## 3053 United-States >50K
## 3054 United-States <=50K
## 3055 United-States <=50K
## 3056 United-States <=50K
## 3057 United-States >50K
## 3058 United-States <=50K
## 3059 United-States <=50K
## 3060 United-States <=50K
## 3061 United-States <=50K
## 3062 United-States <=50K
## 3063 United-States <=50K
## 3064 United-States <=50K
## 3065 Japan >50K
## 3066 United-States <=50K
## 3067 United-States <=50K
## 3068 United-States <=50K
## 3069 United-States <=50K
## 3070 United-States <=50K
## 3071 United-States <=50K
## 3072 United-States >50K
## 3073 United-States <=50K
## 3074 United-States <=50K
## 3075 United-States <=50K
## 3076 United-States <=50K
## 3077 United-States <=50K
## 3078 United-States >50K
## 3079 United-States <=50K
## 3080 United-States >50K
## 3081 United-States >50K
## 3082 United-States <=50K
## 3083 United-States <=50K
## 3084 United-States <=50K
## 3085 United-States <=50K
## 3086 United-States <=50K
## 3087 United-States <=50K
## 3088 United-States <=50K
## 3089 United-States <=50K
## 3090 United-States >50K
## 3091 United-States <=50K
## 3092 United-States >50K
## 3093 United-States <=50K
## 3094 United-States >50K
## 3095 United-States <=50K
## 3096 United-States >50K
## 3097 United-States <=50K
## 3098 United-States <=50K
## 3099 United-States <=50K
## 3100 United-States <=50K
## 3101 United-States <=50K
## 3102 United-States <=50K
## 3103 United-States <=50K
## 3104 United-States <=50K
## 3105 United-States <=50K
## 3106 United-States >50K
## 3107 United-States >50K
## 3108 ? >50K
## 3109 United-States >50K
## 3110 United-States <=50K
## 3111 United-States <=50K
## 3112 United-States >50K
## 3113 United-States <=50K
## 3114 United-States >50K
## 3115 United-States <=50K
## 3116 Poland <=50K
## 3117 United-States <=50K
## 3118 United-States <=50K
## 3119 Mexico <=50K
## 3120 United-States <=50K
## 3121 United-States <=50K
## 3122 United-States <=50K
## 3123 United-States >50K
## 3124 United-States <=50K
## 3125 United-States <=50K
## 3126 United-States >50K
## 3127 United-States <=50K
## 3128 United-States <=50K
## 3129 United-States <=50K
## 3130 United-States >50K
## 3131 United-States <=50K
## 3132 ? <=50K
## 3133 United-States <=50K
## 3134 United-States >50K
## 3135 United-States >50K
## 3136 United-States <=50K
## 3137 United-States <=50K
## 3138 United-States >50K
## 3139 United-States <=50K
## 3140 United-States <=50K
## 3141 United-States >50K
## 3142 United-States <=50K
## 3143 United-States <=50K
## 3144 United-States >50K
## 3145 United-States >50K
## 3146 United-States <=50K
## 3147 United-States <=50K
## 3148 United-States <=50K
## 3149 United-States <=50K
## 3150 United-States <=50K
## 3151 United-States <=50K
## 3152 United-States <=50K
## 3153 United-States >50K
## 3154 United-States >50K
## 3155 United-States >50K
## 3156 United-States >50K
## 3157 United-States >50K
## 3158 United-States <=50K
## 3159 United-States <=50K
## 3160 Germany >50K
## 3161 United-States <=50K
## 3162 United-States <=50K
## 3163 United-States <=50K
## 3164 United-States >50K
## 3165 ? >50K
## 3166 Mexico <=50K
## 3167 ? >50K
## 3168 United-States >50K
## 3169 United-States >50K
## 3170 United-States <=50K
## 3171 United-States <=50K
## 3172 United-States <=50K
## 3173 United-States <=50K
## 3174 United-States <=50K
## 3175 United-States <=50K
## 3176 United-States >50K
## 3177 United-States >50K
## 3178 United-States <=50K
## 3179 United-States <=50K
## 3180 Trinadad&Tobago <=50K
## 3181 United-States >50K
## 3182 United-States <=50K
## 3183 United-States <=50K
## 3184 United-States <=50K
## 3185 United-States >50K
## 3186 United-States >50K
## 3187 United-States <=50K
## 3188 ? <=50K
## 3189 United-States <=50K
## 3190 United-States <=50K
## 3191 United-States >50K
## 3192 United-States <=50K
## 3193 United-States <=50K
## 3194 United-States <=50K
## 3195 United-States <=50K
## 3196 United-States <=50K
## 3197 Mexico <=50K
## 3198 United-States <=50K
## 3199 United-States >50K
## 3200 United-States >50K
## 3201 ? <=50K
## 3202 Dominican-Republic <=50K
## 3203 South <=50K
## 3204 United-States <=50K
## 3205 United-States >50K
## 3206 United-States <=50K
## 3207 United-States >50K
## 3208 United-States <=50K
## 3209 United-States <=50K
## 3210 United-States <=50K
## 3211 United-States <=50K
## 3212 United-States <=50K
## 3213 United-States >50K
## 3214 United-States <=50K
## 3215 United-States <=50K
## 3216 Greece <=50K
## 3217 United-States >50K
## 3218 United-States >50K
## 3219 United-States >50K
## 3220 United-States <=50K
## 3221 United-States >50K
## 3222 United-States <=50K
## 3223 United-States <=50K
## 3224 United-States <=50K
## 3225 United-States >50K
## 3226 United-States >50K
## 3227 United-States <=50K
## 3228 United-States <=50K
## 3229 United-States <=50K
## 3230 United-States <=50K
## 3231 United-States >50K
## 3232 United-States <=50K
## 3233 ? <=50K
## 3234 United-States <=50K
## 3235 United-States <=50K
## 3236 United-States <=50K
## 3237 Poland <=50K
## 3238 Mexico <=50K
## 3239 Puerto-Rico <=50K
## 3240 Philippines <=50K
## 3241 United-States <=50K
## 3242 United-States <=50K
## 3243 United-States <=50K
## 3244 Mexico <=50K
## 3245 United-States <=50K
## 3246 United-States >50K
## 3247 United-States <=50K
## 3248 ? >50K
## 3249 United-States <=50K
## 3250 United-States >50K
## 3251 United-States <=50K
## 3252 United-States <=50K
## 3253 United-States >50K
## 3254 United-States <=50K
## 3255 United-States >50K
## 3256 United-States <=50K
## 3257 ? >50K
## 3258 United-States <=50K
## 3259 United-States <=50K
## 3260 United-States <=50K
## 3261 Peru >50K
## 3262 United-States <=50K
## 3263 United-States >50K
## 3264 United-States <=50K
## 3265 United-States <=50K
## 3266 United-States >50K
## 3267 United-States <=50K
## 3268 United-States >50K
## 3269 United-States >50K
## 3270 United-States <=50K
## 3271 United-States <=50K
## 3272 United-States >50K
## 3273 United-States <=50K
## 3274 United-States >50K
## 3275 United-States >50K
## 3276 United-States <=50K
## 3277 United-States <=50K
## 3278 United-States <=50K
## 3279 United-States >50K
## 3280 United-States <=50K
## 3281 United-States <=50K
## 3282 Mexico >50K
## 3283 United-States <=50K
## 3284 United-States <=50K
## 3285 United-States <=50K
## 3286 United-States <=50K
## 3287 Mexico <=50K
## 3288 United-States <=50K
## 3289 United-States <=50K
## 3290 Cuba <=50K
## 3291 United-States >50K
## 3292 United-States <=50K
## 3293 United-States >50K
## 3294 United-States <=50K
## 3295 United-States <=50K
## 3296 United-States <=50K
## 3297 United-States <=50K
## 3298 Canada >50K
## 3299 United-States <=50K
## 3300 United-States <=50K
## 3301 United-States <=50K
## 3302 United-States <=50K
## 3303 United-States <=50K
## 3304 El-Salvador <=50K
## 3305 United-States <=50K
## 3306 United-States <=50K
## 3307 United-States <=50K
## 3308 United-States <=50K
## 3309 United-States <=50K
## 3310 United-States <=50K
## 3311 United-States <=50K
## 3312 United-States <=50K
## 3313 United-States <=50K
## 3314 United-States <=50K
## 3315 United-States <=50K
## 3316 United-States <=50K
## 3317 United-States <=50K
## 3318 Guatemala >50K
## 3319 United-States <=50K
## 3320 United-States <=50K
## 3321 United-States <=50K
## 3322 United-States >50K
## 3323 United-States <=50K
## 3324 United-States <=50K
## 3325 United-States <=50K
## 3326 United-States <=50K
## 3327 United-States <=50K
## 3328 United-States <=50K
## 3329 United-States >50K
## 3330 United-States <=50K
## 3331 United-States <=50K
## 3332 United-States <=50K
## 3333 United-States <=50K
## 3334 United-States >50K
## 3335 United-States <=50K
## 3336 United-States <=50K
## 3337 United-States >50K
## 3338 United-States >50K
## 3339 United-States <=50K
## 3340 United-States <=50K
## 3341 United-States <=50K
## 3342 United-States <=50K
## 3343 United-States <=50K
## 3344 Mexico <=50K
## 3345 United-States <=50K
## 3346 United-States <=50K
## 3347 United-States <=50K
## 3348 Mexico <=50K
## 3349 Germany <=50K
## 3350 United-States >50K
## 3351 Mexico <=50K
## 3352 United-States <=50K
## 3353 United-States <=50K
## 3354 United-States >50K
## 3355 United-States <=50K
## 3356 United-States <=50K
## 3357 United-States <=50K
## 3358 Dominican-Republic <=50K
## 3359 United-States >50K
## 3360 United-States >50K
## 3361 United-States >50K
## 3362 Mexico <=50K
## 3363 United-States <=50K
## 3364 United-States <=50K
## 3365 United-States <=50K
## 3366 United-States >50K
## 3367 United-States <=50K
## 3368 United-States <=50K
## 3369 United-States >50K
## 3370 United-States <=50K
## 3371 United-States <=50K
## 3372 United-States <=50K
## 3373 United-States <=50K
## 3374 United-States <=50K
## 3375 United-States <=50K
## 3376 United-States <=50K
## 3377 United-States <=50K
## 3378 United-States <=50K
## 3379 United-States <=50K
## 3380 United-States <=50K
## 3381 Mexico <=50K
## 3382 United-States >50K
## 3383 United-States >50K
## 3384 United-States <=50K
## 3385 United-States >50K
## 3386 United-States <=50K
## 3387 Columbia <=50K
## 3388 United-States >50K
## 3389 United-States >50K
## 3390 Iran >50K
## 3391 Iran >50K
## 3392 United-States <=50K
## 3393 United-States <=50K
## 3394 United-States <=50K
## 3395 United-States <=50K
## 3396 United-States >50K
## 3397 United-States <=50K
## 3398 United-States <=50K
## 3399 United-States >50K
## 3400 United-States <=50K
## 3401 United-States <=50K
## 3402 United-States >50K
## 3403 United-States <=50K
## 3404 United-States <=50K
## 3405 Mexico <=50K
## 3406 United-States <=50K
## 3407 United-States <=50K
## 3408 United-States >50K
## 3409 United-States >50K
## 3410 United-States <=50K
## 3411 United-States >50K
## 3412 United-States <=50K
## 3413 United-States <=50K
## 3414 United-States >50K
## 3415 United-States <=50K
## 3416 United-States <=50K
## 3417 United-States <=50K
## 3418 United-States <=50K
## 3419 United-States >50K
## 3420 United-States <=50K
## 3421 United-States <=50K
## 3422 United-States <=50K
## 3423 United-States <=50K
## 3424 United-States <=50K
## 3425 Mexico <=50K
## 3426 United-States <=50K
## 3427 United-States <=50K
## 3428 United-States <=50K
## 3429 United-States <=50K
## 3430 United-States <=50K
## 3431 United-States >50K
## 3432 United-States <=50K
## 3433 United-States <=50K
## 3434 United-States <=50K
## 3435 United-States <=50K
## 3436 United-States >50K
## 3437 United-States <=50K
## 3438 United-States <=50K
## 3439 United-States >50K
## 3440 United-States <=50K
## 3441 United-States <=50K
## 3442 United-States <=50K
## 3443 United-States >50K
## 3444 Mexico <=50K
## 3445 United-States <=50K
## 3446 United-States >50K
## 3447 Mexico <=50K
## 3448 Italy <=50K
## 3449 El-Salvador >50K
## 3450 United-States <=50K
## 3451 United-States <=50K
## 3452 United-States >50K
## 3453 United-States <=50K
## 3454 United-States <=50K
## 3455 United-States <=50K
## 3456 United-States <=50K
## 3457 United-States <=50K
## 3458 United-States <=50K
## 3459 United-States <=50K
## 3460 United-States <=50K
## 3461 United-States >50K
## 3462 ? <=50K
## 3463 United-States <=50K
## 3464 United-States <=50K
## 3465 United-States >50K
## 3466 United-States <=50K
## 3467 United-States >50K
## 3468 United-States <=50K
## 3469 United-States >50K
## 3470 United-States <=50K
## 3471 United-States <=50K
## 3472 United-States <=50K
## 3473 United-States <=50K
## 3474 United-States <=50K
## 3475 United-States <=50K
## 3476 United-States >50K
## 3477 United-States <=50K
## 3478 United-States >50K
## 3479 United-States >50K
## 3480 United-States <=50K
## 3481 United-States >50K
## 3482 Portugal <=50K
## 3483 United-States <=50K
## 3484 England <=50K
## 3485 ? <=50K
## 3486 United-States >50K
## 3487 United-States <=50K
## 3488 United-States <=50K
## 3489 United-States <=50K
## 3490 United-States >50K
## 3491 United-States <=50K
## 3492 United-States <=50K
## 3493 United-States <=50K
## 3494 United-States >50K
## 3495 United-States >50K
## 3496 ? <=50K
## 3497 United-States <=50K
## 3498 United-States >50K
## 3499 United-States <=50K
## 3500 United-States <=50K
## 3501 United-States <=50K
## 3502 United-States <=50K
## 3503 Mexico >50K
## 3504 United-States <=50K
## 3505 United-States <=50K
## 3506 United-States <=50K
## 3507 United-States <=50K
## 3508 United-States <=50K
## 3509 United-States <=50K
## 3510 United-States <=50K
## 3511 United-States <=50K
## 3512 Cuba <=50K
## 3513 United-States <=50K
## 3514 United-States >50K
## 3515 United-States <=50K
## 3516 United-States >50K
## 3517 United-States <=50K
## 3518 United-States >50K
## 3519 United-States >50K
## 3520 United-States <=50K
## 3521 United-States <=50K
## 3522 United-States <=50K
## 3523 United-States <=50K
## 3524 United-States >50K
## 3525 United-States <=50K
## 3526 United-States <=50K
## 3527 United-States <=50K
## 3528 United-States <=50K
## 3529 United-States <=50K
## 3530 United-States <=50K
## 3531 United-States >50K
## 3532 United-States <=50K
## 3533 ? <=50K
## 3534 Cuba <=50K
## 3535 United-States <=50K
## 3536 United-States <=50K
## 3537 United-States >50K
## 3538 United-States <=50K
## 3539 United-States >50K
## 3540 United-States >50K
## 3541 United-States >50K
## 3542 United-States <=50K
## 3543 United-States <=50K
## 3544 United-States >50K
## 3545 United-States <=50K
## 3546 United-States <=50K
## 3547 United-States <=50K
## 3548 United-States <=50K
## 3549 United-States <=50K
## 3550 United-States <=50K
## 3551 United-States <=50K
## 3552 Jamaica <=50K
## 3553 United-States >50K
## 3554 United-States <=50K
## 3555 United-States <=50K
## 3556 United-States <=50K
## 3557 United-States <=50K
## 3558 United-States <=50K
## 3559 United-States <=50K
## 3560 United-States >50K
## 3561 United-States <=50K
## 3562 United-States >50K
## 3563 United-States <=50K
## 3564 United-States <=50K
## 3565 United-States <=50K
## 3566 United-States <=50K
## 3567 United-States <=50K
## 3568 United-States <=50K
## 3569 United-States >50K
## 3570 United-States <=50K
## 3571 Mexico <=50K
## 3572 United-States <=50K
## 3573 United-States <=50K
## 3574 Mexico <=50K
## 3575 United-States >50K
## 3576 United-States >50K
## 3577 United-States <=50K
## 3578 United-States >50K
## 3579 United-States >50K
## 3580 ? <=50K
## 3581 United-States >50K
## 3582 United-States <=50K
## 3583 United-States <=50K
## 3584 United-States >50K
## 3585 United-States >50K
## 3586 United-States <=50K
## 3587 United-States <=50K
## 3588 United-States <=50K
## 3589 United-States <=50K
## 3590 United-States <=50K
## 3591 United-States <=50K
## 3592 United-States <=50K
## 3593 El-Salvador <=50K
## 3594 United-States <=50K
## 3595 United-States >50K
## 3596 United-States >50K
## 3597 United-States <=50K
## 3598 United-States <=50K
## 3599 United-States <=50K
## 3600 United-States >50K
## 3601 United-States <=50K
## 3602 United-States <=50K
## 3603 United-States >50K
## 3604 United-States <=50K
## 3605 United-States <=50K
## 3606 United-States <=50K
## 3607 Canada <=50K
## 3608 United-States <=50K
## 3609 Jamaica <=50K
## 3610 Canada <=50K
## 3611 United-States <=50K
## 3612 United-States <=50K
## 3613 United-States >50K
## 3614 United-States <=50K
## 3615 United-States <=50K
## 3616 United-States <=50K
## 3617 United-States <=50K
## 3618 United-States <=50K
## 3619 United-States <=50K
## 3620 United-States <=50K
## 3621 United-States <=50K
## 3622 United-States <=50K
## 3623 United-States <=50K
## 3624 Mexico <=50K
## 3625 United-States <=50K
## 3626 United-States <=50K
## 3627 United-States <=50K
## 3628 China <=50K
## 3629 United-States <=50K
## 3630 United-States <=50K
## 3631 United-States <=50K
## 3632 United-States <=50K
## 3633 United-States <=50K
## 3634 United-States <=50K
## 3635 United-States <=50K
## 3636 United-States <=50K
## 3637 ? <=50K
## 3638 United-States <=50K
## 3639 United-States <=50K
## 3640 United-States >50K
## 3641 United-States <=50K
## 3642 United-States <=50K
## 3643 United-States <=50K
## 3644 United-States <=50K
## 3645 United-States <=50K
## 3646 United-States <=50K
## 3647 United-States <=50K
## 3648 China <=50K
## 3649 United-States <=50K
## 3650 United-States <=50K
## 3651 United-States <=50K
## 3652 United-States >50K
## 3653 United-States >50K
## 3654 United-States <=50K
## 3655 United-States >50K
## 3656 United-States >50K
## 3657 Mexico <=50K
## 3658 United-States >50K
## 3659 United-States <=50K
## 3660 United-States >50K
## 3661 United-States <=50K
## 3662 United-States <=50K
## 3663 United-States <=50K
## 3664 United-States >50K
## 3665 United-States >50K
## 3666 United-States >50K
## 3667 France >50K
## 3668 United-States <=50K
## 3669 Mexico <=50K
## 3670 United-States <=50K
## 3671 United-States <=50K
## 3672 United-States <=50K
## 3673 United-States <=50K
## 3674 Germany >50K
## 3675 United-States >50K
## 3676 Guatemala <=50K
## 3677 United-States <=50K
## 3678 United-States >50K
## 3679 United-States <=50K
## 3680 United-States <=50K
## 3681 England <=50K
## 3682 United-States <=50K
## 3683 United-States <=50K
## 3684 United-States <=50K
## 3685 United-States <=50K
## 3686 United-States <=50K
## 3687 United-States <=50K
## 3688 Mexico <=50K
## 3689 United-States <=50K
## 3690 United-States <=50K
## 3691 United-States <=50K
## 3692 United-States <=50K
## 3693 United-States >50K
## 3694 United-States <=50K
## 3695 United-States <=50K
## 3696 United-States <=50K
## 3697 Mexico <=50K
## 3698 United-States <=50K
## 3699 United-States >50K
## 3700 United-States <=50K
## 3701 United-States >50K
## 3702 United-States <=50K
## 3703 United-States <=50K
## 3704 United-States <=50K
## 3705 United-States <=50K
## 3706 United-States <=50K
## 3707 United-States <=50K
## 3708 United-States >50K
## 3709 Vietnam <=50K
## 3710 United-States <=50K
## 3711 United-States <=50K
## 3712 United-States <=50K
## 3713 United-States <=50K
## 3714 United-States <=50K
## 3715 China >50K
## 3716 United-States <=50K
## 3717 United-States >50K
## 3718 United-States <=50K
## 3719 United-States <=50K
## 3720 Guatemala <=50K
## 3721 United-States <=50K
## 3722 United-States >50K
## 3723 United-States >50K
## 3724 United-States >50K
## 3725 United-States >50K
## 3726 United-States <=50K
## 3727 United-States >50K
## 3728 United-States >50K
## 3729 United-States <=50K
## 3730 United-States <=50K
## 3731 United-States <=50K
## 3732 United-States <=50K
## 3733 United-States >50K
## 3734 United-States >50K
## 3735 United-States <=50K
## 3736 United-States <=50K
## 3737 United-States <=50K
## 3738 United-States <=50K
## 3739 United-States <=50K
## 3740 United-States <=50K
## 3741 United-States >50K
## 3742 United-States <=50K
## 3743 United-States <=50K
## 3744 Germany <=50K
## 3745 Mexico <=50K
## 3746 United-States <=50K
## 3747 United-States <=50K
## 3748 United-States <=50K
## 3749 United-States <=50K
## 3750 United-States >50K
## 3751 United-States <=50K
## 3752 United-States <=50K
## 3753 United-States <=50K
## 3754 United-States <=50K
## 3755 United-States >50K
## 3756 United-States <=50K
## 3757 United-States <=50K
## 3758 United-States <=50K
## 3759 United-States >50K
## 3760 United-States <=50K
## 3761 United-States >50K
## 3762 United-States <=50K
## 3763 United-States <=50K
## 3764 United-States >50K
## 3765 United-States <=50K
## 3766 United-States <=50K
## 3767 United-States <=50K
## 3768 United-States <=50K
## 3769 United-States <=50K
## 3770 United-States <=50K
## 3771 United-States <=50K
## 3772 United-States <=50K
## 3773 United-States <=50K
## 3774 United-States <=50K
## 3775 United-States >50K
## 3776 United-States <=50K
## 3777 United-States <=50K
## 3778 United-States <=50K
## 3779 United-States <=50K
## 3780 United-States >50K
## 3781 United-States <=50K
## 3782 United-States <=50K
## 3783 United-States <=50K
## 3784 United-States <=50K
## 3785 United-States <=50K
## 3786 United-States <=50K
## 3787 United-States >50K
## 3788 United-States <=50K
## 3789 United-States >50K
## 3790 United-States >50K
## 3791 United-States <=50K
## 3792 United-States <=50K
## 3793 United-States <=50K
## 3794 United-States <=50K
## 3795 United-States <=50K
## 3796 United-States >50K
## 3797 United-States <=50K
## 3798 United-States <=50K
## 3799 Guatemala <=50K
## 3800 United-States <=50K
## 3801 United-States <=50K
## 3802 United-States <=50K
## 3803 United-States <=50K
## 3804 United-States <=50K
## 3805 United-States <=50K
## 3806 United-States <=50K
## 3807 United-States >50K
## 3808 United-States <=50K
## 3809 United-States <=50K
## 3810 United-States >50K
## 3811 United-States <=50K
## 3812 United-States <=50K
## 3813 United-States >50K
## 3814 United-States <=50K
## 3815 United-States <=50K
## 3816 United-States <=50K
## 3817 United-States <=50K
## 3818 United-States >50K
## 3819 United-States <=50K
## 3820 United-States <=50K
## 3821 United-States <=50K
## 3822 Mexico <=50K
## 3823 United-States <=50K
## 3824 United-States <=50K
## 3825 United-States <=50K
## 3826 United-States <=50K
## 3827 United-States <=50K
## 3828 United-States <=50K
## 3829 United-States <=50K
## 3830 United-States >50K
## 3831 United-States <=50K
## 3832 United-States >50K
## 3833 Vietnam <=50K
## 3834 United-States <=50K
## 3835 ? <=50K
## 3836 United-States <=50K
## 3837 United-States >50K
## 3838 United-States <=50K
## 3839 United-States <=50K
## 3840 United-States <=50K
## 3841 United-States <=50K
## 3842 United-States <=50K
## 3843 United-States <=50K
## 3844 United-States <=50K
## 3845 United-States <=50K
## 3846 United-States >50K
## 3847 United-States <=50K
## 3848 United-States >50K
## 3849 United-States >50K
## 3850 United-States <=50K
## 3851 United-States >50K
## 3852 United-States <=50K
## 3853 United-States <=50K
## 3854 United-States <=50K
## 3855 United-States <=50K
## 3856 United-States <=50K
## 3857 ? <=50K
## 3858 United-States <=50K
## 3859 ? <=50K
## 3860 United-States <=50K
## 3861 United-States >50K
## 3862 United-States <=50K
## 3863 United-States >50K
## 3864 United-States <=50K
## 3865 United-States >50K
## 3866 United-States >50K
## 3867 United-States >50K
## 3868 United-States >50K
## 3869 United-States <=50K
## 3870 United-States <=50K
## 3871 United-States <=50K
## 3872 United-States <=50K
## 3873 United-States <=50K
## 3874 United-States <=50K
## 3875 United-States <=50K
## 3876 United-States <=50K
## 3877 United-States <=50K
## 3878 United-States <=50K
## 3879 United-States <=50K
## 3880 Vietnam >50K
## 3881 United-States >50K
## 3882 United-States <=50K
## 3883 United-States >50K
## 3884 United-States <=50K
## 3885 United-States >50K
## 3886 United-States <=50K
## 3887 United-States >50K
## 3888 United-States >50K
## 3889 United-States <=50K
## 3890 United-States >50K
## 3891 United-States <=50K
## 3892 United-States <=50K
## 3893 United-States >50K
## 3894 United-States <=50K
## 3895 United-States >50K
## 3896 United-States >50K
## 3897 United-States <=50K
## 3898 United-States <=50K
## 3899 United-States <=50K
## 3900 United-States <=50K
## 3901 United-States >50K
## 3902 United-States <=50K
## 3903 United-States <=50K
## 3904 El-Salvador <=50K
## 3905 United-States <=50K
## 3906 United-States <=50K
## 3907 United-States <=50K
## 3908 United-States <=50K
## 3909 United-States <=50K
## 3910 Taiwan >50K
## 3911 United-States <=50K
## 3912 United-States >50K
## 3913 United-States <=50K
## 3914 United-States <=50K
## 3915 United-States <=50K
## 3916 United-States >50K
## 3917 United-States <=50K
## 3918 United-States <=50K
## 3919 United-States <=50K
## 3920 United-States <=50K
## 3921 United-States <=50K
## 3922 United-States <=50K
## 3923 United-States <=50K
## 3924 England <=50K
## 3925 Columbia <=50K
## 3926 United-States <=50K
## 3927 United-States >50K
## 3928 United-States >50K
## 3929 United-States <=50K
## 3930 United-States >50K
## 3931 United-States <=50K
## 3932 United-States <=50K
## 3933 United-States >50K
## 3934 United-States <=50K
## 3935 United-States <=50K
## 3936 United-States <=50K
## 3937 United-States <=50K
## 3938 United-States <=50K
## 3939 United-States <=50K
## 3940 United-States <=50K
## 3941 United-States <=50K
## 3942 Mexico <=50K
## 3943 United-States <=50K
## 3944 United-States <=50K
## 3945 Mexico <=50K
## 3946 United-States >50K
## 3947 England <=50K
## 3948 United-States <=50K
## 3949 United-States <=50K
## 3950 United-States <=50K
## 3951 United-States <=50K
## 3952 United-States <=50K
## 3953 United-States >50K
## 3954 United-States <=50K
## 3955 United-States <=50K
## 3956 Puerto-Rico <=50K
## 3957 United-States <=50K
## 3958 United-States <=50K
## 3959 United-States >50K
## 3960 United-States >50K
## 3961 United-States <=50K
## 3962 United-States <=50K
## 3963 England <=50K
## 3964 United-States <=50K
## 3965 United-States >50K
## 3966 United-States <=50K
## 3967 United-States >50K
## 3968 United-States <=50K
## 3969 United-States <=50K
## 3970 United-States <=50K
## 3971 United-States <=50K
## 3972 United-States <=50K
## 3973 Ireland <=50K
## 3974 Jamaica <=50K
## 3975 United-States <=50K
## 3976 United-States <=50K
## 3977 United-States <=50K
## 3978 United-States <=50K
## 3979 United-States <=50K
## 3980 United-States <=50K
## 3981 United-States >50K
## 3982 Ecuador <=50K
## 3983 Ireland <=50K
## 3984 United-States >50K
## 3985 United-States <=50K
## 3986 United-States <=50K
## 3987 United-States <=50K
## 3988 China <=50K
## 3989 United-States >50K
## 3990 United-States <=50K
## 3991 United-States <=50K
## 3992 United-States <=50K
## 3993 United-States >50K
## 3994 United-States <=50K
## 3995 United-States <=50K
## 3996 United-States <=50K
## 3997 United-States <=50K
## 3998 United-States <=50K
## 3999 United-States <=50K
## 4000 United-States <=50K
## 4001 United-States <=50K
## 4002 United-States <=50K
## 4003 United-States <=50K
## 4004 United-States <=50K
## 4005 United-States >50K
## 4006 United-States >50K
## 4007 ? >50K
## 4008 United-States <=50K
## 4009 United-States >50K
## 4010 United-States <=50K
## 4011 United-States <=50K
## 4012 United-States <=50K
## 4013 Mexico <=50K
## 4014 United-States <=50K
## 4015 United-States <=50K
## 4016 United-States <=50K
## 4017 United-States <=50K
## 4018 United-States <=50K
## 4019 United-States >50K
## 4020 United-States <=50K
## 4021 United-States <=50K
## 4022 United-States <=50K
## 4023 United-States <=50K
## 4024 United-States <=50K
## 4025 United-States >50K
## 4026 United-States <=50K
## 4027 United-States <=50K
## 4028 United-States <=50K
## 4029 United-States <=50K
## 4030 Greece <=50K
## 4031 United-States <=50K
## 4032 United-States >50K
## 4033 United-States >50K
## 4034 Jamaica <=50K
## 4035 United-States <=50K
## 4036 United-States >50K
## 4037 United-States <=50K
## 4038 United-States <=50K
## 4039 United-States <=50K
## 4040 United-States <=50K
## 4041 United-States <=50K
## 4042 United-States <=50K
## 4043 Poland >50K
## 4044 United-States <=50K
## 4045 United-States <=50K
## 4046 United-States <=50K
## 4047 United-States <=50K
## 4048 United-States <=50K
## 4049 United-States <=50K
## 4050 United-States <=50K
## 4051 United-States <=50K
## 4052 United-States <=50K
## 4053 United-States <=50K
## 4054 United-States >50K
## 4055 United-States <=50K
## 4056 Philippines >50K
## 4057 United-States >50K
## 4058 United-States <=50K
## 4059 United-States >50K
## 4060 United-States <=50K
## 4061 United-States >50K
## 4062 United-States <=50K
## 4063 United-States <=50K
## 4064 United-States <=50K
## 4065 United-States <=50K
## 4066 United-States <=50K
## 4067 South <=50K
## 4068 United-States <=50K
## 4069 United-States <=50K
## 4070 United-States <=50K
## 4071 United-States <=50K
## 4072 United-States <=50K
## 4073 United-States <=50K
## 4074 Germany <=50K
## 4075 United-States <=50K
## 4076 United-States >50K
## 4077 United-States <=50K
## 4078 United-States <=50K
## 4079 United-States <=50K
## 4080 United-States <=50K
## 4081 United-States <=50K
## 4082 United-States <=50K
## 4083 United-States <=50K
## 4084 United-States <=50K
## 4085 United-States <=50K
## 4086 Peru <=50K
## 4087 United-States <=50K
## 4088 United-States >50K
## 4089 United-States >50K
## 4090 United-States <=50K
## 4091 United-States <=50K
## 4092 United-States <=50K
## 4093 United-States <=50K
## 4094 United-States <=50K
## 4095 United-States <=50K
## 4096 United-States <=50K
## 4097 United-States >50K
## 4098 United-States >50K
## 4099 United-States <=50K
## 4100 United-States <=50K
## 4101 United-States <=50K
## 4102 United-States <=50K
## 4103 United-States <=50K
## 4104 United-States <=50K
## 4105 United-States <=50K
## 4106 United-States <=50K
## 4107 United-States <=50K
## 4108 El-Salvador <=50K
## 4109 Taiwan <=50K
## 4110 United-States <=50K
## 4111 United-States <=50K
## 4112 United-States <=50K
## 4113 United-States >50K
## 4114 United-States <=50K
## 4115 United-States <=50K
## 4116 United-States >50K
## 4117 United-States <=50K
## 4118 United-States <=50K
## 4119 United-States <=50K
## 4120 United-States <=50K
## 4121 United-States <=50K
## 4122 United-States >50K
## 4123 United-States <=50K
## 4124 United-States <=50K
## 4125 United-States <=50K
## 4126 United-States <=50K
## 4127 United-States <=50K
## 4128 United-States >50K
## 4129 United-States <=50K
## 4130 United-States <=50K
## 4131 El-Salvador <=50K
## 4132 United-States >50K
## 4133 United-States <=50K
## 4134 United-States >50K
## 4135 United-States <=50K
## 4136 United-States <=50K
## 4137 United-States <=50K
## 4138 United-States >50K
## 4139 Germany <=50K
## 4140 United-States <=50K
## 4141 United-States <=50K
## 4142 United-States <=50K
## 4143 United-States <=50K
## 4144 United-States >50K
## 4145 United-States <=50K
## 4146 Iran >50K
## 4147 United-States <=50K
## 4148 United-States <=50K
## 4149 United-States <=50K
## 4150 United-States <=50K
## 4151 United-States <=50K
## 4152 United-States <=50K
## 4153 United-States <=50K
## 4154 United-States <=50K
## 4155 United-States >50K
## 4156 United-States <=50K
## 4157 ? <=50K
## 4158 United-States <=50K
## 4159 Ecuador <=50K
## 4160 United-States <=50K
## 4161 United-States <=50K
## 4162 United-States <=50K
## 4163 United-States <=50K
## 4164 United-States <=50K
## 4165 United-States >50K
## 4166 United-States <=50K
## 4167 United-States <=50K
## 4168 United-States <=50K
## 4169 Vietnam <=50K
## 4170 United-States >50K
## 4171 United-States <=50K
## 4172 Dominican-Republic <=50K
## 4173 ? >50K
## 4174 United-States <=50K
## 4175 United-States <=50K
## 4176 United-States <=50K
## 4177 United-States >50K
## 4178 United-States >50K
## 4179 United-States <=50K
## 4180 United-States <=50K
## 4181 Haiti <=50K
## 4182 United-States <=50K
## 4183 Canada >50K
## 4184 United-States <=50K
## 4185 United-States <=50K
## 4186 United-States <=50K
## 4187 United-States <=50K
## 4188 United-States <=50K
## 4189 United-States <=50K
## 4190 United-States <=50K
## 4191 United-States <=50K
## 4192 United-States <=50K
## 4193 United-States <=50K
## 4194 United-States <=50K
## 4195 United-States <=50K
## 4196 United-States <=50K
## 4197 United-States <=50K
## 4198 ? <=50K
## 4199 United-States <=50K
## 4200 United-States <=50K
## 4201 United-States <=50K
## 4202 United-States <=50K
## 4203 United-States <=50K
## 4204 United-States >50K
## 4205 United-States <=50K
## 4206 United-States <=50K
## 4207 United-States <=50K
## 4208 United-States <=50K
## 4209 United-States >50K
## 4210 United-States <=50K
## 4211 United-States >50K
## 4212 United-States <=50K
## 4213 United-States <=50K
## 4214 United-States <=50K
## 4215 United-States <=50K
## 4216 United-States >50K
## 4217 United-States <=50K
## 4218 United-States <=50K
## 4219 El-Salvador <=50K
## 4220 United-States <=50K
## 4221 United-States <=50K
## 4222 United-States <=50K
## 4223 United-States >50K
## 4224 United-States <=50K
## 4225 United-States <=50K
## 4226 United-States <=50K
## 4227 United-States <=50K
## 4228 United-States <=50K
## 4229 United-States <=50K
## 4230 United-States <=50K
## 4231 United-States <=50K
## 4232 United-States <=50K
## 4233 United-States >50K
## 4234 Outlying-US(Guam-USVI-etc) <=50K
## 4235 United-States <=50K
## 4236 United-States <=50K
## 4237 United-States <=50K
## 4238 United-States <=50K
## 4239 United-States >50K
## 4240 United-States <=50K
## 4241 United-States <=50K
## 4242 United-States <=50K
## 4243 United-States <=50K
## 4244 United-States <=50K
## 4245 ? <=50K
## 4246 United-States <=50K
## 4247 United-States >50K
## 4248 United-States <=50K
## 4249 United-States <=50K
## 4250 United-States <=50K
## 4251 United-States <=50K
## 4252 United-States <=50K
## 4253 United-States <=50K
## 4254 United-States <=50K
## 4255 United-States <=50K
## 4256 United-States >50K
## 4257 United-States <=50K
## 4258 United-States >50K
## 4259 United-States >50K
## 4260 United-States <=50K
## 4261 United-States <=50K
## 4262 United-States <=50K
## 4263 Vietnam <=50K
## 4264 United-States <=50K
## 4265 United-States >50K
## 4266 United-States >50K
## 4267 United-States >50K
## 4268 United-States >50K
## 4269 United-States <=50K
## 4270 United-States <=50K
## 4271 United-States <=50K
## 4272 United-States >50K
## 4273 United-States <=50K
## 4274 United-States <=50K
## 4275 United-States <=50K
## 4276 United-States <=50K
## 4277 United-States <=50K
## 4278 United-States <=50K
## 4279 United-States <=50K
## 4280 United-States <=50K
## 4281 Mexico <=50K
## 4282 Puerto-Rico <=50K
## 4283 United-States <=50K
## 4284 United-States <=50K
## 4285 United-States <=50K
## 4286 United-States >50K
## 4287 Jamaica <=50K
## 4288 United-States <=50K
## 4289 United-States <=50K
## 4290 United-States <=50K
## 4291 United-States <=50K
## 4292 Mexico <=50K
## 4293 United-States <=50K
## 4294 United-States <=50K
## 4295 United-States <=50K
## 4296 United-States <=50K
## 4297 United-States <=50K
## 4298 United-States >50K
## 4299 United-States <=50K
## 4300 United-States <=50K
## 4301 United-States <=50K
## 4302 ? <=50K
## 4303 United-States <=50K
## 4304 Cambodia <=50K
## 4305 United-States >50K
## 4306 United-States <=50K
## 4307 United-States >50K
## 4308 United-States <=50K
## 4309 United-States <=50K
## 4310 United-States <=50K
## 4311 Ecuador <=50K
## 4312 United-States >50K
## 4313 United-States >50K
## 4314 United-States <=50K
## 4315 United-States <=50K
## 4316 Nicaragua <=50K
## 4317 United-States <=50K
## 4318 United-States <=50K
## 4319 United-States <=50K
## 4320 United-States <=50K
## 4321 United-States <=50K
## 4322 United-States <=50K
## 4323 United-States >50K
## 4324 United-States <=50K
## 4325 United-States <=50K
## 4326 Mexico <=50K
## 4327 ? <=50K
## 4328 United-States >50K
## 4329 United-States <=50K
## 4330 United-States >50K
## 4331 United-States >50K
## 4332 United-States <=50K
## 4333 Canada <=50K
## 4334 United-States <=50K
## 4335 United-States <=50K
## 4336 United-States <=50K
## 4337 United-States <=50K
## 4338 Philippines <=50K
## 4339 United-States >50K
## 4340 United-States >50K
## 4341 United-States <=50K
## 4342 United-States >50K
## 4343 United-States <=50K
## 4344 United-States >50K
## 4345 United-States >50K
## 4346 United-States <=50K
## 4347 United-States <=50K
## 4348 United-States <=50K
## 4349 United-States <=50K
## 4350 United-States >50K
## 4351 United-States <=50K
## 4352 United-States >50K
## 4353 United-States <=50K
## 4354 United-States <=50K
## 4355 Germany >50K
## 4356 United-States <=50K
## 4357 United-States <=50K
## 4358 United-States <=50K
## 4359 United-States <=50K
## 4360 United-States >50K
## 4361 United-States <=50K
## 4362 Jamaica <=50K
## 4363 United-States <=50K
## 4364 United-States <=50K
## 4365 United-States <=50K
## 4366 United-States >50K
## 4367 United-States >50K
## 4368 South <=50K
## 4369 United-States >50K
## 4370 Iran <=50K
## 4371 United-States <=50K
## 4372 United-States <=50K
## 4373 United-States <=50K
## 4374 United-States <=50K
## 4375 Puerto-Rico >50K
## 4376 United-States <=50K
## 4377 United-States <=50K
## 4378 United-States <=50K
## 4379 United-States >50K
## 4380 United-States <=50K
## 4381 United-States >50K
## 4382 Jamaica >50K
## 4383 United-States <=50K
## 4384 United-States <=50K
## 4385 Canada <=50K
## 4386 United-States <=50K
## 4387 United-States <=50K
## 4388 United-States <=50K
## 4389 United-States <=50K
## 4390 United-States >50K
## 4391 United-States >50K
## 4392 Mexico <=50K
## 4393 United-States <=50K
## 4394 United-States <=50K
## 4395 United-States <=50K
## 4396 United-States <=50K
## 4397 ? <=50K
## 4398 United-States <=50K
## 4399 United-States <=50K
## 4400 United-States <=50K
## 4401 United-States <=50K
## 4402 United-States >50K
## 4403 United-States <=50K
## 4404 Taiwan <=50K
## 4405 United-States >50K
## 4406 ? >50K
## 4407 United-States <=50K
## 4408 United-States >50K
## 4409 United-States <=50K
## 4410 South <=50K
## 4411 United-States <=50K
## 4412 United-States >50K
## 4413 United-States <=50K
## 4414 United-States <=50K
## 4415 United-States <=50K
## 4416 United-States <=50K
## 4417 United-States <=50K
## 4418 United-States >50K
## 4419 United-States <=50K
## 4420 United-States <=50K
## 4421 United-States <=50K
## 4422 United-States >50K
## 4423 United-States <=50K
## 4424 United-States <=50K
## 4425 United-States <=50K
## 4426 Canada <=50K
## 4427 United-States <=50K
## 4428 United-States <=50K
## 4429 Mexico <=50K
## 4430 United-States <=50K
## 4431 United-States <=50K
## 4432 United-States <=50K
## 4433 United-States <=50K
## 4434 Iran >50K
## 4435 United-States <=50K
## 4436 United-States <=50K
## 4437 United-States <=50K
## 4438 United-States >50K
## 4439 United-States >50K
## 4440 United-States <=50K
## 4441 United-States >50K
## 4442 United-States >50K
## 4443 United-States <=50K
## 4444 United-States >50K
## 4445 United-States <=50K
## 4446 United-States >50K
## 4447 United-States <=50K
## 4448 Yugoslavia <=50K
## 4449 United-States <=50K
## 4450 United-States <=50K
## 4451 United-States <=50K
## 4452 United-States <=50K
## 4453 United-States <=50K
## 4454 United-States <=50K
## 4455 United-States <=50K
## 4456 Italy <=50K
## 4457 Canada <=50K
## 4458 United-States <=50K
## 4459 United-States <=50K
## 4460 United-States <=50K
## 4461 United-States <=50K
## 4462 United-States <=50K
## 4463 ? <=50K
## 4464 United-States <=50K
## 4465 United-States <=50K
## 4466 United-States >50K
## 4467 United-States >50K
## 4468 United-States <=50K
## 4469 United-States <=50K
## 4470 United-States <=50K
## 4471 United-States >50K
## 4472 United-States >50K
## 4473 United-States <=50K
## 4474 United-States >50K
## 4475 United-States >50K
## 4476 United-States >50K
## 4477 United-States <=50K
## 4478 United-States <=50K
## 4479 United-States >50K
## 4480 United-States >50K
## 4481 India <=50K
## 4482 United-States <=50K
## 4483 United-States <=50K
## 4484 United-States <=50K
## 4485 United-States <=50K
## 4486 Jamaica <=50K
## 4487 United-States >50K
## 4488 Canada <=50K
## 4489 Canada <=50K
## 4490 United-States <=50K
## 4491 United-States <=50K
## 4492 United-States >50K
## 4493 United-States >50K
## 4494 United-States <=50K
## 4495 United-States <=50K
## 4496 United-States >50K
## 4497 United-States <=50K
## 4498 United-States <=50K
## 4499 United-States <=50K
## 4500 United-States <=50K
## 4501 United-States <=50K
## 4502 United-States <=50K
## 4503 United-States >50K
## 4504 United-States <=50K
## 4505 United-States <=50K
## 4506 United-States <=50K
## 4507 United-States <=50K
## 4508 United-States <=50K
## 4509 Outlying-US(Guam-USVI-etc) <=50K
## 4510 United-States <=50K
## 4511 ? <=50K
## 4512 United-States <=50K
## 4513 India <=50K
## 4514 United-States <=50K
## 4515 United-States <=50K
## 4516 United-States <=50K
## 4517 United-States <=50K
## 4518 United-States <=50K
## 4519 United-States >50K
## 4520 United-States <=50K
## 4521 United-States <=50K
## 4522 United-States <=50K
## 4523 United-States <=50K
## 4524 India <=50K
## 4525 United-States <=50K
## 4526 United-States <=50K
## 4527 United-States <=50K
## 4528 United-States <=50K
## 4529 United-States <=50K
## 4530 United-States <=50K
## 4531 United-States <=50K
## 4532 United-States <=50K
## 4533 Philippines <=50K
## 4534 United-States >50K
## 4535 United-States <=50K
## 4536 United-States <=50K
## 4537 Germany <=50K
## 4538 United-States >50K
## 4539 Philippines <=50K
## 4540 United-States >50K
## 4541 United-States >50K
## 4542 United-States <=50K
## 4543 United-States <=50K
## 4544 United-States >50K
## 4545 United-States <=50K
## 4546 United-States >50K
## 4547 United-States >50K
## 4548 United-States <=50K
## 4549 United-States <=50K
## 4550 United-States >50K
## 4551 United-States >50K
## 4552 United-States <=50K
## 4553 United-States <=50K
## 4554 United-States <=50K
## 4555 United-States <=50K
## 4556 United-States >50K
## 4557 United-States <=50K
## 4558 United-States <=50K
## 4559 United-States <=50K
## 4560 United-States >50K
## 4561 United-States <=50K
## 4562 United-States <=50K
## 4563 Mexico <=50K
## 4564 United-States <=50K
## 4565 United-States <=50K
## 4566 United-States <=50K
## 4567 United-States >50K
## 4568 United-States <=50K
## 4569 United-States <=50K
## 4570 United-States <=50K
## 4571 United-States <=50K
## 4572 United-States >50K
## 4573 United-States <=50K
## 4574 United-States <=50K
## 4575 United-States <=50K
## 4576 United-States >50K
## 4577 Trinadad&Tobago <=50K
## 4578 United-States <=50K
## 4579 ? <=50K
## 4580 United-States <=50K
## 4581 United-States <=50K
## 4582 United-States <=50K
## 4583 United-States <=50K
## 4584 United-States <=50K
## 4585 United-States >50K
## 4586 United-States <=50K
## 4587 United-States <=50K
## 4588 United-States <=50K
## 4589 United-States <=50K
## 4590 United-States <=50K
## 4591 United-States <=50K
## 4592 United-States <=50K
## 4593 United-States >50K
## 4594 United-States >50K
## 4595 United-States <=50K
## 4596 United-States >50K
## 4597 United-States <=50K
## 4598 United-States >50K
## 4599 China <=50K
## 4600 ? >50K
## 4601 United-States >50K
## 4602 United-States <=50K
## 4603 United-States <=50K
## 4604 United-States >50K
## 4605 United-States <=50K
## 4606 United-States <=50K
## 4607 United-States <=50K
## 4608 United-States <=50K
## 4609 United-States <=50K
## 4610 United-States <=50K
## 4611 Laos <=50K
## 4612 United-States <=50K
## 4613 United-States >50K
## 4614 United-States <=50K
## 4615 United-States <=50K
## 4616 United-States <=50K
## 4617 United-States <=50K
## 4618 United-States <=50K
## 4619 United-States >50K
## 4620 United-States <=50K
## 4621 United-States <=50K
## 4622 United-States <=50K
## 4623 United-States >50K
## 4624 United-States <=50K
## 4625 United-States <=50K
## 4626 Taiwan >50K
## 4627 United-States <=50K
## 4628 United-States <=50K
## 4629 United-States <=50K
## 4630 Canada >50K
## 4631 United-States <=50K
## 4632 United-States <=50K
## 4633 United-States >50K
## 4634 United-States <=50K
## 4635 United-States <=50K
## 4636 France <=50K
## 4637 United-States >50K
## 4638 United-States <=50K
## 4639 United-States <=50K
## 4640 ? >50K
## 4641 United-States <=50K
## 4642 United-States >50K
## 4643 Mexico <=50K
## 4644 United-States <=50K
## 4645 United-States <=50K
## 4646 United-States >50K
## 4647 United-States <=50K
## 4648 Jamaica <=50K
## 4649 United-States <=50K
## 4650 United-States <=50K
## 4651 United-States <=50K
## 4652 United-States <=50K
## 4653 United-States <=50K
## 4654 United-States <=50K
## 4655 United-States >50K
## 4656 United-States <=50K
## 4657 ? >50K
## 4658 United-States >50K
## 4659 ? <=50K
## 4660 United-States >50K
## 4661 United-States <=50K
## 4662 United-States >50K
## 4663 United-States <=50K
## 4664 United-States <=50K
## 4665 United-States <=50K
## 4666 United-States <=50K
## 4667 United-States <=50K
## 4668 United-States <=50K
## 4669 United-States <=50K
## 4670 United-States >50K
## 4671 United-States >50K
## 4672 ? <=50K
## 4673 United-States <=50K
## 4674 United-States <=50K
## 4675 United-States <=50K
## 4676 United-States >50K
## 4677 United-States <=50K
## 4678 United-States <=50K
## 4679 United-States <=50K
## 4680 United-States <=50K
## 4681 United-States >50K
## 4682 United-States <=50K
## 4683 United-States <=50K
## 4684 United-States <=50K
## 4685 United-States <=50K
## 4686 United-States >50K
## 4687 United-States <=50K
## 4688 United-States <=50K
## 4689 United-States <=50K
## 4690 United-States <=50K
## 4691 United-States <=50K
## 4692 Canada <=50K
## 4693 United-States >50K
## 4694 United-States <=50K
## 4695 United-States >50K
## 4696 United-States <=50K
## 4697 United-States <=50K
## 4698 Guatemala <=50K
## 4699 Mexico <=50K
## 4700 United-States <=50K
## 4701 Guatemala <=50K
## 4702 United-States <=50K
## 4703 United-States <=50K
## 4704 United-States <=50K
## 4705 Germany >50K
## 4706 Mexico <=50K
## 4707 United-States <=50K
## 4708 United-States <=50K
## 4709 United-States <=50K
## 4710 United-States >50K
## 4711 United-States <=50K
## 4712 United-States <=50K
## 4713 United-States <=50K
## 4714 United-States <=50K
## 4715 United-States <=50K
## 4716 United-States <=50K
## 4717 United-States <=50K
## 4718 United-States >50K
## 4719 Mexico <=50K
## 4720 United-States <=50K
## 4721 United-States <=50K
## 4722 United-States >50K
## 4723 Dominican-Republic <=50K
## 4724 United-States <=50K
## 4725 Vietnam <=50K
## 4726 United-States <=50K
## 4727 El-Salvador <=50K
## 4728 United-States >50K
## 4729 United-States <=50K
## 4730 United-States <=50K
## 4731 United-States <=50K
## 4732 United-States <=50K
## 4733 Mexico <=50K
## 4734 Mexico <=50K
## 4735 Mexico <=50K
## 4736 United-States <=50K
## 4737 United-States >50K
## 4738 United-States <=50K
## 4739 United-States <=50K
## 4740 United-States <=50K
## 4741 United-States >50K
## 4742 United-States <=50K
## 4743 United-States >50K
## 4744 United-States <=50K
## 4745 United-States <=50K
## 4746 United-States <=50K
## 4747 United-States >50K
## 4748 United-States >50K
## 4749 Germany <=50K
## 4750 United-States <=50K
## 4751 United-States >50K
## 4752 United-States <=50K
## 4753 United-States <=50K
## 4754 United-States >50K
## 4755 United-States <=50K
## 4756 United-States <=50K
## 4757 United-States <=50K
## 4758 United-States <=50K
## 4759 United-States >50K
## 4760 United-States <=50K
## 4761 United-States <=50K
## 4762 United-States >50K
## 4763 United-States <=50K
## 4764 United-States >50K
## 4765 United-States <=50K
## 4766 Ireland >50K
## 4767 United-States <=50K
## 4768 United-States <=50K
## 4769 Philippines >50K
## 4770 United-States <=50K
## 4771 United-States <=50K
## 4772 United-States <=50K
## 4773 ? >50K
## 4774 United-States <=50K
## 4775 United-States <=50K
## 4776 United-States <=50K
## 4777 United-States >50K
## 4778 United-States <=50K
## 4779 United-States <=50K
## 4780 United-States <=50K
## 4781 United-States >50K
## 4782 United-States <=50K
## 4783 United-States >50K
## 4784 United-States <=50K
## 4785 United-States >50K
## 4786 Cambodia <=50K
## 4787 ? <=50K
## 4788 United-States <=50K
## 4789 United-States <=50K
## 4790 United-States <=50K
## 4791 United-States <=50K
## 4792 United-States <=50K
## 4793 United-States <=50K
## 4794 United-States >50K
## 4795 United-States <=50K
## 4796 United-States <=50K
## 4797 United-States <=50K
## 4798 United-States >50K
## 4799 United-States <=50K
## 4800 United-States <=50K
## 4801 Mexico <=50K
## 4802 United-States <=50K
## 4803 United-States <=50K
## 4804 Philippines <=50K
## 4805 United-States <=50K
## 4806 United-States >50K
## 4807 United-States >50K
## 4808 Puerto-Rico >50K
## 4809 United-States >50K
## 4810 United-States <=50K
## 4811 United-States >50K
## 4812 United-States <=50K
## 4813 United-States >50K
## 4814 Italy <=50K
## 4815 United-States <=50K
## 4816 United-States <=50K
## 4817 United-States >50K
## 4818 United-States <=50K
## 4819 United-States <=50K
## 4820 United-States <=50K
## 4821 United-States <=50K
## 4822 United-States <=50K
## 4823 United-States <=50K
## 4824 United-States <=50K
## 4825 United-States <=50K
## 4826 United-States >50K
## 4827 Vietnam <=50K
## 4828 ? >50K
## 4829 United-States <=50K
## 4830 United-States <=50K
## 4831 Mexico <=50K
## 4832 United-States <=50K
## 4833 United-States >50K
## 4834 United-States >50K
## 4835 United-States <=50K
## 4836 United-States <=50K
## 4837 United-States >50K
## 4838 United-States <=50K
## 4839 United-States <=50K
## 4840 United-States <=50K
## 4841 United-States <=50K
## 4842 United-States <=50K
## 4843 United-States <=50K
## 4844 United-States <=50K
## 4845 United-States <=50K
## 4846 United-States <=50K
## 4847 United-States <=50K
## 4848 United-States >50K
## 4849 United-States <=50K
## 4850 United-States <=50K
## 4851 United-States >50K
## 4852 United-States <=50K
## 4853 United-States <=50K
## 4854 United-States <=50K
## 4855 Philippines <=50K
## 4856 United-States <=50K
## 4857 United-States <=50K
## 4858 United-States <=50K
## 4859 United-States >50K
## 4860 United-States <=50K
## 4861 United-States <=50K
## 4862 Dominican-Republic <=50K
## 4863 United-States >50K
## 4864 United-States <=50K
## 4865 United-States <=50K
## 4866 United-States >50K
## 4867 El-Salvador <=50K
## 4868 United-States <=50K
## 4869 United-States <=50K
## 4870 United-States <=50K
## 4871 United-States >50K
## 4872 United-States <=50K
## 4873 United-States >50K
## 4874 United-States >50K
## 4875 United-States >50K
## 4876 United-States >50K
## 4877 United-States <=50K
## 4878 United-States <=50K
## 4879 United-States >50K
## 4880 United-States <=50K
## 4881 United-States >50K
## 4882 Mexico <=50K
## 4883 United-States <=50K
## 4884 United-States <=50K
## 4885 United-States <=50K
## 4886 United-States >50K
## 4887 United-States <=50K
## 4888 United-States <=50K
## 4889 United-States >50K
## 4890 United-States <=50K
## 4891 United-States <=50K
## 4892 United-States <=50K
## 4893 United-States <=50K
## 4894 United-States <=50K
## 4895 United-States >50K
## 4896 United-States <=50K
## 4897 United-States <=50K
## 4898 United-States >50K
## 4899 United-States >50K
## 4900 United-States <=50K
## 4901 United-States >50K
## 4902 United-States <=50K
## 4903 United-States <=50K
## 4904 United-States >50K
## 4905 United-States <=50K
## 4906 Portugal >50K
## 4907 United-States >50K
## 4908 United-States <=50K
## 4909 United-States >50K
## 4910 United-States <=50K
## 4911 United-States <=50K
## 4912 United-States <=50K
## 4913 United-States <=50K
## 4914 Cuba <=50K
## 4915 United-States >50K
## 4916 United-States <=50K
## 4917 United-States <=50K
## 4918 United-States <=50K
## 4919 United-States <=50K
## 4920 Vietnam <=50K
## 4921 United-States <=50K
## 4922 United-States <=50K
## 4923 United-States <=50K
## 4924 United-States >50K
## 4925 United-States <=50K
## 4926 United-States <=50K
## 4927 United-States <=50K
## 4928 United-States <=50K
## 4929 United-States >50K
## 4930 United-States <=50K
## 4931 United-States <=50K
## 4932 United-States <=50K
## 4933 United-States >50K
## 4934 United-States <=50K
## 4935 United-States <=50K
## 4936 United-States >50K
## 4937 United-States <=50K
## 4938 United-States <=50K
## 4939 United-States <=50K
## 4940 United-States <=50K
## 4941 United-States >50K
## 4942 United-States >50K
## 4943 United-States <=50K
## 4944 United-States >50K
## 4945 United-States >50K
## 4946 United-States <=50K
## 4947 United-States <=50K
## 4948 United-States >50K
## 4949 United-States <=50K
## 4950 United-States >50K
## 4951 United-States >50K
## 4952 United-States >50K
## 4953 United-States >50K
## 4954 United-States >50K
## 4955 United-States <=50K
## 4956 United-States <=50K
## 4957 United-States <=50K
## 4958 United-States <=50K
## 4959 United-States <=50K
## 4960 United-States <=50K
## 4961 Puerto-Rico <=50K
## 4962 United-States >50K
## 4963 United-States <=50K
## 4964 United-States <=50K
## 4965 United-States <=50K
## 4966 United-States <=50K
## 4967 United-States <=50K
## 4968 United-States >50K
## 4969 United-States <=50K
## 4970 United-States <=50K
## 4971 United-States >50K
## 4972 United-States <=50K
## 4973 China >50K
## 4974 Mexico <=50K
## 4975 United-States >50K
## 4976 United-States <=50K
## 4977 United-States >50K
## 4978 United-States <=50K
## 4979 United-States >50K
## 4980 Guatemala <=50K
## 4981 United-States <=50K
## 4982 United-States <=50K
## 4983 United-States <=50K
## 4984 United-States >50K
## 4985 United-States <=50K
## 4986 United-States <=50K
## 4987 United-States <=50K
## 4988 United-States <=50K
## 4989 United-States >50K
## 4990 United-States <=50K
## 4991 United-States <=50K
## 4992 United-States <=50K
## 4993 United-States <=50K
## 4994 United-States <=50K
## 4995 United-States <=50K
## 4996 Mexico <=50K
## 4997 United-States >50K
## 4998 United-States >50K
## 4999 United-States <=50K
## 5000 United-States <=50K
## 5001 United-States >50K
## 5002 United-States <=50K
## 5003 United-States <=50K
## 5004 United-States <=50K
## 5005 United-States <=50K
## 5006 United-States <=50K
## 5007 United-States <=50K
## 5008 United-States >50K
## 5009 United-States <=50K
## 5010 United-States <=50K
## 5011 United-States <=50K
## 5012 United-States <=50K
## 5013 Japan <=50K
## 5014 United-States >50K
## 5015 United-States >50K
## 5016 United-States <=50K
## 5017 United-States <=50K
## 5018 United-States <=50K
## 5019 United-States <=50K
## 5020 Mexico <=50K
## 5021 United-States <=50K
## 5022 United-States <=50K
## 5023 United-States <=50K
## 5024 United-States <=50K
## 5025 United-States <=50K
## 5026 Cuba <=50K
## 5027 United-States >50K
## 5028 United-States >50K
## 5029 Mexico <=50K
## 5030 United-States <=50K
## 5031 Canada <=50K
## 5032 United-States >50K
## 5033 United-States <=50K
## 5034 United-States >50K
## 5035 United-States <=50K
## 5036 United-States <=50K
## 5037 United-States <=50K
## 5038 United-States <=50K
## 5039 United-States <=50K
## 5040 United-States <=50K
## 5041 United-States <=50K
## 5042 United-States <=50K
## 5043 United-States <=50K
## 5044 United-States <=50K
## 5045 United-States >50K
## 5046 United-States >50K
## 5047 United-States <=50K
## 5048 United-States <=50K
## 5049 Mexico <=50K
## 5050 United-States >50K
## 5051 United-States <=50K
## 5052 United-States >50K
## 5053 United-States <=50K
## 5054 United-States >50K
## 5055 United-States <=50K
## 5056 United-States <=50K
## 5057 United-States <=50K
## 5058 United-States <=50K
## 5059 United-States >50K
## 5060 United-States <=50K
## 5061 United-States <=50K
## 5062 United-States <=50K
## 5063 United-States >50K
## 5064 United-States <=50K
## 5065 United-States <=50K
## 5066 Mexico <=50K
## 5067 United-States <=50K
## 5068 United-States <=50K
## 5069 United-States <=50K
## 5070 United-States >50K
## 5071 United-States <=50K
## 5072 United-States <=50K
## 5073 United-States >50K
## 5074 United-States >50K
## 5075 United-States <=50K
## 5076 United-States >50K
## 5077 United-States <=50K
## 5078 United-States <=50K
## 5079 United-States <=50K
## 5080 United-States <=50K
## 5081 United-States <=50K
## 5082 ? <=50K
## 5083 United-States <=50K
## 5084 Jamaica <=50K
## 5085 United-States <=50K
## 5086 United-States >50K
## 5087 United-States <=50K
## 5088 United-States <=50K
## 5089 United-States >50K
## 5090 United-States <=50K
## 5091 United-States <=50K
## 5092 United-States <=50K
## 5093 Poland <=50K
## 5094 United-States <=50K
## 5095 United-States <=50K
## 5096 United-States <=50K
## 5097 United-States <=50K
## 5098 United-States <=50K
## 5099 United-States >50K
## 5100 United-States >50K
## 5101 United-States <=50K
## 5102 United-States >50K
## 5103 United-States <=50K
## 5104 United-States <=50K
## 5105 United-States <=50K
## 5106 United-States <=50K
## 5107 United-States <=50K
## 5108 United-States <=50K
## 5109 United-States >50K
## 5110 United-States <=50K
## 5111 United-States <=50K
## 5112 United-States <=50K
## 5113 Poland <=50K
## 5114 United-States <=50K
## 5115 United-States <=50K
## 5116 United-States <=50K
## 5117 United-States <=50K
## 5118 United-States <=50K
## 5119 Puerto-Rico <=50K
## 5120 United-States <=50K
## 5121 United-States <=50K
## 5122 United-States >50K
## 5123 United-States <=50K
## 5124 United-States <=50K
## 5125 United-States <=50K
## 5126 United-States <=50K
## 5127 United-States <=50K
## 5128 United-States <=50K
## 5129 United-States <=50K
## 5130 United-States <=50K
## 5131 United-States <=50K
## 5132 United-States <=50K
## 5133 Canada <=50K
## 5134 United-States <=50K
## 5135 United-States <=50K
## 5136 United-States <=50K
## 5137 United-States <=50K
## 5138 United-States >50K
## 5139 United-States <=50K
## 5140 United-States <=50K
## 5141 United-States >50K
## 5142 Canada <=50K
## 5143 United-States <=50K
## 5144 Germany <=50K
## 5145 United-States <=50K
## 5146 United-States <=50K
## 5147 United-States <=50K
## 5148 United-States <=50K
## 5149 United-States <=50K
## 5150 United-States <=50K
## 5151 United-States >50K
## 5152 United-States <=50K
## 5153 United-States <=50K
## 5154 United-States <=50K
## 5155 United-States <=50K
## 5156 United-States >50K
## 5157 United-States <=50K
## 5158 United-States <=50K
## 5159 United-States >50K
## 5160 United-States <=50K
## 5161 United-States >50K
## 5162 United-States <=50K
## 5163 United-States <=50K
## 5164 United-States <=50K
## 5165 United-States >50K
## 5166 United-States <=50K
## 5167 United-States >50K
## 5168 United-States >50K
## 5169 United-States <=50K
## 5170 United-States >50K
## 5171 United-States <=50K
## 5172 United-States <=50K
## 5173 United-States >50K
## 5174 United-States >50K
## 5175 United-States <=50K
## 5176 United-States >50K
## 5177 United-States >50K
## 5178 United-States <=50K
## 5179 United-States <=50K
## 5180 United-States >50K
## 5181 ? <=50K
## 5182 United-States <=50K
## 5183 United-States <=50K
## 5184 United-States <=50K
## 5185 United-States >50K
## 5186 ? <=50K
## 5187 United-States <=50K
## 5188 United-States <=50K
## 5189 United-States <=50K
## 5190 United-States <=50K
## 5191 United-States <=50K
## 5192 United-States <=50K
## 5193 United-States >50K
## 5194 United-States <=50K
## 5195 Cuba >50K
## 5196 United-States <=50K
## 5197 Taiwan >50K
## 5198 United-States <=50K
## 5199 United-States >50K
## 5200 United-States <=50K
## 5201 United-States >50K
## 5202 ? >50K
## 5203 United-States >50K
## 5204 United-States <=50K
## 5205 United-States <=50K
## 5206 Iran <=50K
## 5207 United-States <=50K
## 5208 United-States <=50K
## 5209 United-States <=50K
## 5210 United-States <=50K
## 5211 United-States <=50K
## 5212 United-States >50K
## 5213 United-States <=50K
## 5214 United-States <=50K
## 5215 United-States <=50K
## 5216 United-States <=50K
## 5217 United-States <=50K
## 5218 United-States <=50K
## 5219 United-States <=50K
## 5220 Taiwan <=50K
## 5221 United-States >50K
## 5222 United-States <=50K
## 5223 United-States >50K
## 5224 United-States <=50K
## 5225 United-States >50K
## 5226 United-States <=50K
## 5227 United-States <=50K
## 5228 United-States >50K
## 5229 United-States <=50K
## 5230 United-States <=50K
## 5231 United-States <=50K
## 5232 United-States >50K
## 5233 United-States <=50K
## 5234 United-States <=50K
## 5235 ? <=50K
## 5236 United-States <=50K
## 5237 United-States >50K
## 5238 United-States <=50K
## 5239 United-States >50K
## 5240 United-States <=50K
## 5241 United-States <=50K
## 5242 Cuba <=50K
## 5243 United-States <=50K
## 5244 United-States <=50K
## 5245 United-States <=50K
## 5246 United-States <=50K
## 5247 Canada <=50K
## 5248 United-States <=50K
## 5249 United-States <=50K
## 5250 United-States <=50K
## 5251 United-States <=50K
## 5252 United-States >50K
## 5253 United-States <=50K
## 5254 United-States <=50K
## 5255 Mexico <=50K
## 5256 United-States <=50K
## 5257 United-States <=50K
## 5258 Mexico <=50K
## 5259 United-States <=50K
## 5260 Scotland <=50K
## 5261 United-States <=50K
## 5262 United-States <=50K
## 5263 United-States <=50K
## 5264 United-States <=50K
## 5265 United-States >50K
## 5266 United-States <=50K
## 5267 United-States <=50K
## 5268 United-States >50K
## 5269 United-States <=50K
## 5270 United-States >50K
## 5271 United-States <=50K
## 5272 United-States <=50K
## 5273 United-States <=50K
## 5274 United-States <=50K
## 5275 United-States >50K
## 5276 United-States >50K
## 5277 United-States >50K
## 5278 United-States <=50K
## 5279 Mexico <=50K
## 5280 United-States <=50K
## 5281 United-States <=50K
## 5282 United-States <=50K
## 5283 United-States >50K
## 5284 United-States <=50K
## 5285 United-States <=50K
## 5286 United-States >50K
## 5287 El-Salvador <=50K
## 5288 United-States >50K
## 5289 United-States <=50K
## 5290 United-States <=50K
## 5291 United-States >50K
## 5292 United-States <=50K
## 5293 United-States <=50K
## 5294 United-States <=50K
## 5295 United-States <=50K
## 5296 United-States <=50K
## 5297 United-States <=50K
## 5298 United-States <=50K
## 5299 United-States <=50K
## 5300 United-States <=50K
## 5301 United-States <=50K
## 5302 Poland >50K
## 5303 United-States <=50K
## 5304 United-States <=50K
## 5305 United-States <=50K
## 5306 United-States <=50K
## 5307 United-States <=50K
## 5308 United-States <=50K
## 5309 United-States <=50K
## 5310 ? >50K
## 5311 United-States <=50K
## 5312 United-States >50K
## 5313 United-States <=50K
## 5314 United-States <=50K
## 5315 United-States <=50K
## 5316 United-States <=50K
## 5317 United-States <=50K
## 5318 United-States <=50K
## 5319 United-States <=50K
## 5320 United-States <=50K
## 5321 United-States <=50K
## 5322 United-States <=50K
## 5323 United-States <=50K
## 5324 United-States <=50K
## 5325 United-States <=50K
## 5326 Mexico <=50K
## 5327 United-States <=50K
## 5328 United-States >50K
## 5329 United-States <=50K
## 5330 United-States >50K
## 5331 South <=50K
## 5332 Cuba <=50K
## 5333 United-States <=50K
## 5334 United-States <=50K
## 5335 United-States <=50K
## 5336 United-States <=50K
## 5337 United-States <=50K
## 5338 United-States >50K
## 5339 United-States <=50K
## 5340 United-States <=50K
## 5341 Mexico <=50K
## 5342 United-States <=50K
## 5343 United-States <=50K
## 5344 United-States <=50K
## 5345 United-States <=50K
## 5346 United-States <=50K
## 5347 Germany <=50K
## 5348 ? >50K
## 5349 United-States <=50K
## 5350 United-States >50K
## 5351 United-States <=50K
## 5352 United-States >50K
## 5353 United-States <=50K
## 5354 United-States <=50K
## 5355 United-States <=50K
## 5356 United-States <=50K
## 5357 United-States <=50K
## 5358 United-States <=50K
## 5359 United-States >50K
## 5360 United-States <=50K
## 5361 United-States <=50K
## 5362 United-States <=50K
## 5363 United-States <=50K
## 5364 United-States <=50K
## 5365 United-States <=50K
## 5366 United-States <=50K
## 5367 United-States <=50K
## 5368 United-States <=50K
## 5369 United-States >50K
## 5370 United-States <=50K
## 5371 United-States >50K
## 5372 United-States <=50K
## 5373 United-States <=50K
## 5374 United-States <=50K
## 5375 ? >50K
## 5376 United-States <=50K
## 5377 United-States <=50K
## 5378 United-States >50K
## 5379 United-States <=50K
## 5380 United-States <=50K
## 5381 United-States >50K
## 5382 United-States <=50K
## 5383 United-States <=50K
## 5384 United-States <=50K
## 5385 United-States <=50K
## 5386 Puerto-Rico >50K
## 5387 United-States <=50K
## 5388 United-States <=50K
## 5389 Germany >50K
## 5390 United-States <=50K
## 5391 United-States <=50K
## 5392 United-States <=50K
## 5393 United-States <=50K
## 5394 United-States <=50K
## 5395 United-States <=50K
## 5396 Vietnam <=50K
## 5397 United-States <=50K
## 5398 United-States >50K
## 5399 United-States <=50K
## 5400 United-States <=50K
## 5401 United-States >50K
## 5402 ? <=50K
## 5403 United-States <=50K
## 5404 United-States <=50K
## 5405 United-States <=50K
## 5406 United-States >50K
## 5407 United-States >50K
## 5408 United-States >50K
## 5409 United-States >50K
## 5410 United-States <=50K
## 5411 United-States <=50K
## 5412 United-States <=50K
## 5413 United-States <=50K
## 5414 United-States <=50K
## 5415 United-States >50K
## 5416 Vietnam <=50K
## 5417 United-States <=50K
## 5418 United-States <=50K
## 5419 United-States >50K
## 5420 United-States <=50K
## 5421 United-States <=50K
## 5422 United-States <=50K
## 5423 United-States <=50K
## 5424 United-States <=50K
## 5425 South <=50K
## 5426 United-States >50K
## 5427 United-States <=50K
## 5428 United-States <=50K
## 5429 United-States <=50K
## 5430 United-States >50K
## 5431 United-States <=50K
## 5432 United-States >50K
## 5433 United-States <=50K
## 5434 United-States <=50K
## 5435 United-States <=50K
## 5436 China <=50K
## 5437 United-States >50K
## 5438 United-States >50K
## 5439 United-States <=50K
## 5440 United-States <=50K
## 5441 United-States <=50K
## 5442 Italy <=50K
## 5443 United-States <=50K
## 5444 United-States <=50K
## 5445 United-States <=50K
## 5446 United-States <=50K
## 5447 United-States <=50K
## 5448 United-States <=50K
## 5449 United-States <=50K
## 5450 United-States <=50K
## 5451 ? <=50K
## 5452 United-States <=50K
## 5453 El-Salvador <=50K
## 5454 United-States <=50K
## 5455 United-States <=50K
## 5456 United-States <=50K
## 5457 United-States >50K
## 5458 United-States >50K
## 5459 United-States >50K
## 5460 United-States <=50K
## 5461 United-States <=50K
## 5462 United-States <=50K
## 5463 United-States >50K
## 5464 Columbia <=50K
## 5465 United-States <=50K
## 5466 United-States <=50K
## 5467 United-States <=50K
## 5468 United-States <=50K
## 5469 United-States <=50K
## 5470 United-States <=50K
## 5471 United-States <=50K
## 5472 Poland <=50K
## 5473 United-States <=50K
## 5474 United-States >50K
## 5475 United-States <=50K
## 5476 United-States <=50K
## 5477 United-States <=50K
## 5478 United-States <=50K
## 5479 United-States >50K
## 5480 United-States >50K
## 5481 United-States >50K
## 5482 United-States <=50K
## 5483 United-States <=50K
## 5484 United-States <=50K
## 5485 United-States <=50K
## 5486 United-States <=50K
## 5487 United-States <=50K
## 5488 United-States >50K
## 5489 United-States >50K
## 5490 United-States <=50K
## 5491 United-States >50K
## 5492 Japan <=50K
## 5493 England <=50K
## 5494 United-States <=50K
## 5495 United-States >50K
## 5496 United-States <=50K
## 5497 United-States <=50K
## 5498 United-States >50K
## 5499 United-States <=50K
## 5500 United-States <=50K
## 5501 United-States <=50K
## 5502 United-States <=50K
## 5503 United-States <=50K
## 5504 Mexico <=50K
## 5505 United-States <=50K
## 5506 United-States <=50K
## 5507 United-States <=50K
## 5508 United-States >50K
## 5509 United-States <=50K
## 5510 United-States <=50K
## 5511 Dominican-Republic <=50K
## 5512 United-States <=50K
## 5513 United-States <=50K
## 5514 England <=50K
## 5515 United-States >50K
## 5516 United-States <=50K
## 5517 United-States <=50K
## 5518 United-States <=50K
## 5519 United-States >50K
## 5520 United-States <=50K
## 5521 United-States <=50K
## 5522 United-States >50K
## 5523 United-States <=50K
## 5524 United-States >50K
## 5525 United-States <=50K
## 5526 Philippines <=50K
## 5527 United-States <=50K
## 5528 United-States <=50K
## 5529 United-States <=50K
## 5530 United-States <=50K
## 5531 United-States >50K
## 5532 United-States <=50K
## 5533 United-States >50K
## 5534 United-States <=50K
## 5535 United-States <=50K
## 5536 United-States <=50K
## 5537 United-States <=50K
## 5538 United-States >50K
## 5539 United-States >50K
## 5540 United-States <=50K
## 5541 ? <=50K
## 5542 United-States <=50K
## 5543 United-States >50K
## 5544 United-States >50K
## 5545 United-States <=50K
## 5546 United-States <=50K
## 5547 United-States <=50K
## 5548 United-States >50K
## 5549 United-States <=50K
## 5550 United-States <=50K
## 5551 United-States <=50K
## 5552 United-States <=50K
## 5553 United-States <=50K
## 5554 United-States <=50K
## 5555 United-States <=50K
## 5556 United-States >50K
## 5557 United-States <=50K
## 5558 United-States <=50K
## 5559 United-States <=50K
## 5560 United-States <=50K
## 5561 Cambodia >50K
## 5562 United-States <=50K
## 5563 United-States <=50K
## 5564 United-States <=50K
## 5565 United-States <=50K
## 5566 United-States <=50K
## 5567 United-States >50K
## 5568 United-States <=50K
## 5569 United-States >50K
## 5570 United-States <=50K
## 5571 United-States >50K
## 5572 United-States <=50K
## 5573 United-States <=50K
## 5574 United-States <=50K
## 5575 United-States >50K
## 5576 United-States <=50K
## 5577 United-States <=50K
## 5578 United-States <=50K
## 5579 United-States <=50K
## 5580 United-States <=50K
## 5581 United-States >50K
## 5582 United-States >50K
## 5583 United-States >50K
## 5584 United-States <=50K
## 5585 United-States >50K
## 5586 United-States <=50K
## 5587 United-States <=50K
## 5588 United-States <=50K
## 5589 United-States >50K
## 5590 United-States >50K
## 5591 United-States <=50K
## 5592 United-States <=50K
## 5593 South <=50K
## 5594 United-States >50K
## 5595 United-States <=50K
## 5596 United-States >50K
## 5597 United-States <=50K
## 5598 United-States <=50K
## 5599 United-States <=50K
## 5600 United-States >50K
## 5601 United-States >50K
## 5602 United-States >50K
## 5603 United-States >50K
## 5604 United-States <=50K
## 5605 Philippines <=50K
## 5606 United-States <=50K
## 5607 United-States >50K
## 5608 United-States <=50K
## 5609 United-States <=50K
## 5610 United-States <=50K
## 5611 United-States >50K
## 5612 United-States >50K
## 5613 United-States >50K
## 5614 United-States <=50K
## 5615 United-States >50K
## 5616 United-States <=50K
## 5617 United-States <=50K
## 5618 Poland <=50K
## 5619 United-States <=50K
## 5620 Ireland <=50K
## 5621 United-States >50K
## 5622 United-States <=50K
## 5623 United-States <=50K
## 5624 United-States <=50K
## 5625 United-States >50K
## 5626 United-States >50K
## 5627 United-States <=50K
## 5628 United-States <=50K
## 5629 United-States >50K
## 5630 India <=50K
## 5631 United-States <=50K
## 5632 United-States <=50K
## 5633 United-States <=50K
## 5634 United-States <=50K
## 5635 United-States >50K
## 5636 United-States <=50K
## 5637 Puerto-Rico <=50K
## 5638 United-States <=50K
## 5639 United-States <=50K
## 5640 United-States >50K
## 5641 United-States <=50K
## 5642 United-States <=50K
## 5643 United-States <=50K
## 5644 United-States >50K
## 5645 United-States <=50K
## 5646 United-States <=50K
## 5647 United-States <=50K
## 5648 ? <=50K
## 5649 United-States <=50K
## 5650 United-States >50K
## 5651 United-States <=50K
## 5652 United-States >50K
## 5653 United-States <=50K
## 5654 United-States <=50K
## 5655 United-States <=50K
## 5656 United-States <=50K
## 5657 United-States <=50K
## 5658 United-States >50K
## 5659 United-States >50K
## 5660 United-States <=50K
## 5661 United-States >50K
## 5662 United-States <=50K
## 5663 United-States <=50K
## 5664 ? >50K
## 5665 Puerto-Rico <=50K
## 5666 United-States <=50K
## 5667 United-States >50K
## 5668 United-States <=50K
## 5669 United-States >50K
## 5670 United-States >50K
## 5671 United-States <=50K
## 5672 United-States <=50K
## 5673 United-States >50K
## 5674 United-States <=50K
## 5675 United-States >50K
## 5676 United-States <=50K
## 5677 United-States <=50K
## 5678 United-States <=50K
## 5679 United-States <=50K
## 5680 United-States <=50K
## 5681 United-States <=50K
## 5682 United-States <=50K
## 5683 United-States >50K
## 5684 ? <=50K
## 5685 United-States <=50K
## 5686 United-States >50K
## 5687 United-States <=50K
## 5688 United-States <=50K
## 5689 United-States >50K
## 5690 United-States <=50K
## 5691 United-States <=50K
## 5692 United-States <=50K
## 5693 United-States <=50K
## 5694 United-States <=50K
## 5695 United-States >50K
## 5696 United-States <=50K
## 5697 United-States >50K
## 5698 United-States <=50K
## 5699 Philippines <=50K
## 5700 United-States <=50K
## 5701 United-States <=50K
## 5702 United-States <=50K
## 5703 United-States >50K
## 5704 United-States >50K
## 5705 United-States <=50K
## 5706 Germany <=50K
## 5707 United-States <=50K
## 5708 United-States <=50K
## 5709 United-States >50K
## 5710 ? >50K
## 5711 United-States >50K
## 5712 United-States >50K
## 5713 United-States >50K
## 5714 United-States >50K
## 5715 United-States <=50K
## 5716 United-States <=50K
## 5717 Guatemala <=50K
## 5718 United-States >50K
## 5719 United-States <=50K
## 5720 United-States <=50K
## 5721 Germany <=50K
## 5722 United-States <=50K
## 5723 United-States <=50K
## 5724 United-States <=50K
## 5725 United-States <=50K
## 5726 United-States <=50K
## 5727 United-States <=50K
## 5728 United-States >50K
## 5729 United-States >50K
## 5730 United-States <=50K
## 5731 United-States <=50K
## 5732 United-States <=50K
## 5733 United-States <=50K
## 5734 United-States <=50K
## 5735 Portugal <=50K
## 5736 United-States <=50K
## 5737 United-States <=50K
## 5738 United-States <=50K
## 5739 United-States <=50K
## 5740 Mexico <=50K
## 5741 Mexico <=50K
## 5742 Puerto-Rico <=50K
## 5743 United-States <=50K
## 5744 United-States <=50K
## 5745 United-States <=50K
## 5746 United-States <=50K
## 5747 United-States <=50K
## 5748 United-States >50K
## 5749 United-States >50K
## 5750 United-States <=50K
## 5751 United-States >50K
## 5752 United-States <=50K
## 5753 United-States <=50K
## 5754 United-States <=50K
## 5755 Canada >50K
## 5756 United-States >50K
## 5757 United-States >50K
## 5758 United-States >50K
## 5759 United-States <=50K
## 5760 United-States <=50K
## 5761 United-States <=50K
## 5762 United-States <=50K
## 5763 United-States <=50K
## 5764 United-States <=50K
## 5765 United-States >50K
## 5766 United-States <=50K
## 5767 United-States <=50K
## 5768 United-States >50K
## 5769 United-States <=50K
## 5770 United-States <=50K
## 5771 United-States <=50K
## 5772 Philippines >50K
## 5773 United-States <=50K
## 5774 United-States <=50K
## 5775 United-States <=50K
## 5776 United-States <=50K
## 5777 United-States <=50K
## 5778 United-States <=50K
## 5779 United-States <=50K
## 5780 United-States <=50K
## 5781 United-States <=50K
## 5782 United-States <=50K
## 5783 United-States <=50K
## 5784 United-States <=50K
## 5785 United-States <=50K
## 5786 United-States <=50K
## 5787 China <=50K
## 5788 England <=50K
## 5789 United-States <=50K
## 5790 United-States <=50K
## 5791 United-States <=50K
## 5792 United-States >50K
## 5793 United-States >50K
## 5794 United-States >50K
## 5795 United-States >50K
## 5796 United-States <=50K
## 5797 Germany >50K
## 5798 United-States <=50K
## 5799 United-States >50K
## 5800 United-States <=50K
## 5801 United-States <=50K
## 5802 United-States <=50K
## 5803 United-States <=50K
## 5804 United-States <=50K
## 5805 United-States <=50K
## 5806 United-States <=50K
## 5807 United-States <=50K
## 5808 United-States <=50K
## 5809 United-States <=50K
## 5810 United-States <=50K
## 5811 Mexico <=50K
## 5812 United-States <=50K
## 5813 Haiti <=50K
## 5814 United-States >50K
## 5815 United-States <=50K
## 5816 United-States <=50K
## 5817 United-States <=50K
## 5818 United-States >50K
## 5819 United-States <=50K
## 5820 United-States <=50K
## 5821 United-States <=50K
## 5822 United-States >50K
## 5823 United-States >50K
## 5824 ? <=50K
## 5825 United-States <=50K
## 5826 United-States <=50K
## 5827 United-States <=50K
## 5828 United-States <=50K
## 5829 United-States <=50K
## 5830 United-States <=50K
## 5831 United-States <=50K
## 5832 United-States >50K
## 5833 United-States <=50K
## 5834 United-States <=50K
## 5835 Cuba <=50K
## 5836 United-States <=50K
## 5837 United-States >50K
## 5838 United-States <=50K
## 5839 United-States <=50K
## 5840 Greece >50K
## 5841 United-States <=50K
## 5842 ? <=50K
## 5843 Guatemala <=50K
## 5844 United-States <=50K
## 5845 United-States <=50K
## 5846 United-States <=50K
## 5847 United-States <=50K
## 5848 United-States <=50K
## 5849 United-States >50K
## 5850 United-States <=50K
## 5851 United-States <=50K
## 5852 United-States <=50K
## 5853 United-States <=50K
## 5854 United-States <=50K
## 5855 ? <=50K
## 5856 United-States <=50K
## 5857 United-States <=50K
## 5858 United-States >50K
## 5859 United-States <=50K
## 5860 United-States <=50K
## 5861 Mexico <=50K
## 5862 United-States <=50K
## 5863 United-States <=50K
## 5864 United-States <=50K
## 5865 United-States <=50K
## 5866 United-States <=50K
## 5867 United-States <=50K
## 5868 United-States >50K
## 5869 United-States <=50K
## 5870 United-States <=50K
## 5871 Dominican-Republic <=50K
## 5872 United-States >50K
## 5873 United-States <=50K
## 5874 United-States <=50K
## 5875 United-States <=50K
## 5876 United-States >50K
## 5877 United-States >50K
## 5878 Mexico <=50K
## 5879 United-States <=50K
## 5880 United-States <=50K
## 5881 United-States <=50K
## 5882 United-States <=50K
## 5883 United-States >50K
## 5884 Greece <=50K
## 5885 United-States <=50K
## 5886 United-States <=50K
## 5887 United-States <=50K
## 5888 United-States <=50K
## 5889 United-States <=50K
## 5890 United-States >50K
## 5891 United-States <=50K
## 5892 United-States <=50K
## 5893 United-States <=50K
## 5894 United-States <=50K
## 5895 United-States <=50K
## 5896 United-States <=50K
## 5897 United-States <=50K
## 5898 United-States <=50K
## 5899 United-States >50K
## 5900 El-Salvador <=50K
## 5901 United-States <=50K
## 5902 United-States <=50K
## 5903 United-States <=50K
## 5904 United-States <=50K
## 5905 United-States <=50K
## 5906 United-States <=50K
## 5907 United-States <=50K
## 5908 United-States <=50K
## 5909 United-States <=50K
## 5910 United-States >50K
## 5911 United-States <=50K
## 5912 Greece <=50K
## 5913 United-States <=50K
## 5914 United-States <=50K
## 5915 United-States <=50K
## 5916 United-States <=50K
## 5917 United-States <=50K
## 5918 United-States >50K
## 5919 United-States <=50K
## 5920 United-States >50K
## 5921 United-States <=50K
## 5922 United-States <=50K
## 5923 United-States <=50K
## 5924 United-States <=50K
## 5925 United-States <=50K
## 5926 United-States >50K
## 5927 United-States <=50K
## 5928 United-States <=50K
## 5929 United-States <=50K
## 5930 United-States >50K
## 5931 United-States <=50K
## 5932 United-States >50K
## 5933 United-States <=50K
## 5934 United-States <=50K
## 5935 United-States <=50K
## 5936 United-States <=50K
## 5937 United-States >50K
## 5938 United-States >50K
## 5939 United-States <=50K
## 5940 United-States <=50K
## 5941 United-States >50K
## 5942 United-States >50K
## 5943 United-States <=50K
## 5944 United-States >50K
## 5945 United-States >50K
## 5946 United-States <=50K
## 5947 United-States <=50K
## 5948 United-States <=50K
## 5949 United-States >50K
## 5950 United-States <=50K
## 5951 United-States <=50K
## 5952 United-States <=50K
## 5953 United-States <=50K
## 5954 United-States <=50K
## 5955 United-States <=50K
## 5956 United-States >50K
## 5957 United-States <=50K
## 5958 United-States <=50K
## 5959 Mexico <=50K
## 5960 United-States <=50K
## 5961 United-States <=50K
## 5962 United-States <=50K
## 5963 United-States <=50K
## 5964 ? <=50K
## 5965 United-States <=50K
## 5966 United-States >50K
## 5967 United-States <=50K
## 5968 United-States <=50K
## 5969 Canada >50K
## 5970 United-States <=50K
## 5971 United-States >50K
## 5972 Laos <=50K
## 5973 United-States <=50K
## 5974 United-States <=50K
## 5975 United-States <=50K
## 5976 Mexico <=50K
## 5977 United-States <=50K
## 5978 United-States >50K
## 5979 United-States <=50K
## 5980 United-States >50K
## 5981 Japan >50K
## 5982 United-States <=50K
## 5983 United-States <=50K
## 5984 United-States <=50K
## 5985 United-States <=50K
## 5986 United-States >50K
## 5987 United-States <=50K
## 5988 United-States <=50K
## 5989 United-States <=50K
## 5990 United-States <=50K
## 5991 United-States <=50K
## 5992 United-States <=50K
## 5993 United-States <=50K
## 5994 United-States <=50K
## 5995 United-States <=50K
## 5996 United-States <=50K
## 5997 United-States <=50K
## 5998 Mexico >50K
## 5999 United-States <=50K
## 6000 United-States <=50K
## 6001 United-States <=50K
## 6002 United-States <=50K
## 6003 United-States >50K
## 6004 United-States <=50K
## 6005 United-States >50K
## 6006 ? >50K
## 6007 Philippines <=50K
## 6008 United-States >50K
## 6009 United-States >50K
## 6010 United-States <=50K
## 6011 United-States >50K
## 6012 United-States >50K
## 6013 United-States <=50K
## 6014 United-States <=50K
## 6015 United-States <=50K
## 6016 United-States <=50K
## 6017 United-States >50K
## 6018 United-States >50K
## 6019 United-States <=50K
## 6020 United-States <=50K
## 6021 United-States >50K
## 6022 United-States <=50K
## 6023 United-States <=50K
## 6024 United-States <=50K
## 6025 United-States >50K
## 6026 United-States >50K
## 6027 United-States <=50K
## 6028 United-States <=50K
## 6029 United-States <=50K
## 6030 United-States <=50K
## 6031 United-States >50K
## 6032 United-States <=50K
## 6033 United-States >50K
## 6034 United-States <=50K
## 6035 United-States <=50K
## 6036 United-States >50K
## 6037 United-States >50K
## 6038 United-States <=50K
## 6039 Japan <=50K
## 6040 United-States <=50K
## 6041 Mexico <=50K
## 6042 United-States <=50K
## 6043 United-States >50K
## 6044 Poland <=50K
## 6045 Jamaica <=50K
## 6046 United-States >50K
## 6047 United-States <=50K
## 6048 United-States <=50K
## 6049 United-States <=50K
## 6050 United-States <=50K
## 6051 Greece <=50K
## 6052 United-States <=50K
## 6053 United-States <=50K
## 6054 United-States <=50K
## 6055 United-States <=50K
## 6056 United-States <=50K
## 6057 United-States <=50K
## 6058 Mexico <=50K
## 6059 United-States <=50K
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## 6061 United-States <=50K
## 6062 United-States <=50K
## 6063 United-States <=50K
## 6064 United-States <=50K
## 6065 United-States <=50K
## 6066 China <=50K
## 6067 United-States >50K
## 6068 Mexico <=50K
## 6069 United-States <=50K
## 6070 United-States <=50K
## 6071 United-States <=50K
## 6072 United-States <=50K
## 6073 United-States <=50K
## 6074 United-States <=50K
## 6075 United-States <=50K
## 6076 United-States <=50K
## 6077 United-States <=50K
## 6078 United-States <=50K
## 6079 United-States <=50K
## 6080 United-States <=50K
## 6081 United-States <=50K
## 6082 United-States <=50K
## 6083 United-States >50K
## 6084 United-States <=50K
## 6085 United-States >50K
## 6086 United-States <=50K
## 6087 United-States <=50K
## 6088 United-States <=50K
## 6089 United-States <=50K
## 6090 United-States <=50K
## 6091 United-States <=50K
## 6092 United-States <=50K
## 6093 United-States <=50K
## 6094 United-States <=50K
## 6095 United-States <=50K
## 6096 United-States <=50K
## 6097 United-States <=50K
## 6098 United-States <=50K
## 6099 United-States <=50K
## 6100 United-States <=50K
## 6101 United-States <=50K
## 6102 United-States >50K
## 6103 United-States <=50K
## 6104 United-States <=50K
## 6105 United-States <=50K
## 6106 United-States >50K
## 6107 United-States <=50K
## 6108 United-States <=50K
## 6109 United-States <=50K
## 6110 United-States <=50K
## 6111 United-States <=50K
## 6112 United-States >50K
## 6113 United-States >50K
## 6114 United-States <=50K
## 6115 United-States <=50K
## 6116 United-States >50K
## 6117 United-States >50K
## 6118 United-States <=50K
## 6119 United-States <=50K
## 6120 United-States <=50K
## 6121 United-States >50K
## 6122 United-States >50K
## 6123 United-States <=50K
## 6124 United-States <=50K
## 6125 United-States >50K
## 6126 Philippines <=50K
## 6127 United-States <=50K
## 6128 United-States <=50K
## 6129 United-States <=50K
## 6130 ? <=50K
## 6131 United-States <=50K
## 6132 Mexico <=50K
## 6133 United-States <=50K
## 6134 United-States <=50K
## 6135 United-States <=50K
## 6136 England >50K
## 6137 United-States <=50K
## 6138 United-States >50K
## 6139 United-States <=50K
## 6140 United-States <=50K
## 6141 United-States <=50K
## 6142 United-States <=50K
## 6143 United-States <=50K
## 6144 United-States >50K
## 6145 United-States <=50K
## 6146 United-States <=50K
## 6147 United-States <=50K
## 6148 United-States >50K
## 6149 United-States <=50K
## 6150 United-States >50K
## 6151 South <=50K
## 6152 United-States <=50K
## 6153 United-States <=50K
## 6154 United-States <=50K
## 6155 United-States <=50K
## 6156 United-States <=50K
## 6157 United-States <=50K
## 6158 United-States <=50K
## 6159 United-States <=50K
## 6160 United-States <=50K
## 6161 United-States <=50K
## 6162 United-States <=50K
## 6163 United-States <=50K
## 6164 United-States <=50K
## 6165 United-States <=50K
## 6166 United-States <=50K
## 6167 United-States <=50K
## 6168 United-States <=50K
## 6169 United-States <=50K
## 6170 United-States <=50K
## 6171 United-States >50K
## 6172 United-States <=50K
## 6173 United-States <=50K
## 6174 El-Salvador >50K
## 6175 United-States <=50K
## 6176 Vietnam <=50K
## 6177 ? <=50K
## 6178 United-States >50K
## 6179 United-States <=50K
## 6180 United-States >50K
## 6181 United-States <=50K
## 6182 United-States >50K
## 6183 Iran <=50K
## 6184 United-States <=50K
## 6185 United-States >50K
## 6186 United-States <=50K
## 6187 ? >50K
## 6188 United-States <=50K
## 6189 United-States <=50K
## 6190 United-States <=50K
## 6191 United-States <=50K
## 6192 United-States <=50K
## 6193 United-States >50K
## 6194 United-States <=50K
## 6195 United-States <=50K
## 6196 United-States <=50K
## 6197 United-States >50K
## 6198 United-States >50K
## 6199 United-States <=50K
## 6200 United-States >50K
## 6201 United-States >50K
## 6202 United-States <=50K
## 6203 United-States <=50K
## 6204 Puerto-Rico <=50K
## 6205 United-States <=50K
## 6206 United-States >50K
## 6207 United-States <=50K
## 6208 United-States <=50K
## 6209 United-States >50K
## 6210 United-States <=50K
## 6211 United-States <=50K
## 6212 United-States <=50K
## 6213 Jamaica >50K
## 6214 United-States >50K
## 6215 United-States <=50K
## 6216 United-States <=50K
## 6217 United-States >50K
## 6218 United-States >50K
## 6219 United-States <=50K
## 6220 India <=50K
## 6221 United-States >50K
## 6222 United-States <=50K
## 6223 United-States <=50K
## 6224 United-States <=50K
## 6225 United-States >50K
## 6226 United-States >50K
## 6227 United-States <=50K
## 6228 United-States >50K
## 6229 United-States <=50K
## 6230 United-States <=50K
## 6231 United-States <=50K
## 6232 United-States <=50K
## 6233 United-States <=50K
## 6234 United-States >50K
## 6235 United-States <=50K
## 6236 United-States <=50K
## 6237 United-States >50K
## 6238 United-States <=50K
## 6239 United-States <=50K
## 6240 United-States <=50K
## 6241 United-States <=50K
## 6242 United-States <=50K
## 6243 ? <=50K
## 6244 United-States <=50K
## 6245 United-States <=50K
## 6246 United-States >50K
## 6247 Mexico <=50K
## 6248 United-States <=50K
## 6249 United-States <=50K
## 6250 United-States <=50K
## 6251 United-States >50K
## 6252 United-States <=50K
## 6253 United-States <=50K
## 6254 United-States <=50K
## 6255 United-States <=50K
## 6256 United-States <=50K
## 6257 United-States >50K
## 6258 United-States <=50K
## 6259 United-States <=50K
## 6260 United-States <=50K
## 6261 United-States <=50K
## 6262 United-States <=50K
## 6263 United-States <=50K
## 6264 United-States <=50K
## 6265 United-States >50K
## 6266 United-States <=50K
## 6267 United-States <=50K
## 6268 United-States <=50K
## 6269 United-States <=50K
## 6270 Philippines <=50K
## 6271 United-States <=50K
## 6272 United-States <=50K
## 6273 United-States <=50K
## 6274 United-States <=50K
## 6275 Mexico <=50K
## 6276 United-States <=50K
## 6277 United-States <=50K
## 6278 United-States <=50K
## 6279 United-States <=50K
## 6280 United-States <=50K
## 6281 United-States <=50K
## 6282 United-States >50K
## 6283 United-States <=50K
## 6284 United-States <=50K
## 6285 United-States <=50K
## 6286 United-States <=50K
## 6287 United-States <=50K
## 6288 United-States <=50K
## 6289 Jamaica <=50K
## 6290 United-States >50K
## 6291 United-States <=50K
## 6292 United-States >50K
## 6293 United-States <=50K
## 6294 United-States <=50K
## 6295 United-States <=50K
## 6296 Iran >50K
## 6297 United-States <=50K
## 6298 United-States <=50K
## 6299 United-States <=50K
## 6300 United-States >50K
## 6301 United-States <=50K
## 6302 United-States <=50K
## 6303 United-States <=50K
## 6304 United-States >50K
## 6305 United-States >50K
## 6306 United-States <=50K
## 6307 United-States <=50K
## 6308 United-States <=50K
## 6309 United-States <=50K
## 6310 United-States <=50K
## 6311 United-States >50K
## 6312 United-States <=50K
## 6313 United-States <=50K
## 6314 United-States >50K
## 6315 Philippines <=50K
## 6316 United-States <=50K
## 6317 United-States <=50K
## 6318 United-States <=50K
## 6319 Germany <=50K
## 6320 ? <=50K
## 6321 United-States <=50K
## 6322 India <=50K
## 6323 United-States <=50K
## 6324 United-States <=50K
## 6325 United-States >50K
## 6326 United-States >50K
## 6327 United-States <=50K
## 6328 United-States <=50K
## 6329 Yugoslavia <=50K
## 6330 United-States <=50K
## 6331 United-States >50K
## 6332 Puerto-Rico >50K
## 6333 United-States >50K
## 6334 United-States <=50K
## 6335 United-States >50K
## 6336 United-States <=50K
## 6337 United-States <=50K
## 6338 Canada >50K
## 6339 United-States <=50K
## 6340 United-States <=50K
## 6341 United-States <=50K
## 6342 United-States <=50K
## 6343 United-States <=50K
## 6344 United-States <=50K
## 6345 Germany >50K
## 6346 United-States <=50K
## 6347 United-States <=50K
## 6348 United-States <=50K
## 6349 United-States <=50K
## 6350 United-States >50K
## 6351 United-States <=50K
## 6352 United-States <=50K
## 6353 United-States >50K
## 6354 United-States <=50K
## 6355 United-States <=50K
## 6356 United-States <=50K
## 6357 United-States <=50K
## 6358 United-States <=50K
## 6359 United-States <=50K
## 6360 United-States >50K
## 6361 ? <=50K
## 6362 United-States <=50K
## 6363 United-States <=50K
## 6364 United-States <=50K
## 6365 ? <=50K
## 6366 United-States <=50K
## 6367 United-States <=50K
## 6368 United-States <=50K
## 6369 United-States <=50K
## 6370 United-States >50K
## 6371 United-States <=50K
## 6372 United-States <=50K
## 6373 United-States <=50K
## 6374 United-States >50K
## 6375 United-States <=50K
## 6376 United-States <=50K
## 6377 ? <=50K
## 6378 United-States <=50K
## 6379 United-States >50K
## 6380 United-States >50K
## 6381 United-States <=50K
## 6382 United-States <=50K
## 6383 United-States >50K
## 6384 United-States >50K
## 6385 United-States >50K
## 6386 United-States <=50K
## 6387 United-States <=50K
## 6388 China <=50K
## 6389 United-States <=50K
## 6390 United-States <=50K
## 6391 United-States <=50K
## 6392 United-States >50K
## 6393 United-States >50K
## 6394 Mexico <=50K
## 6395 United-States <=50K
## 6396 ? <=50K
## 6397 United-States <=50K
## 6398 United-States <=50K
## 6399 United-States <=50K
## 6400 United-States <=50K
## 6401 United-States <=50K
## 6402 United-States <=50K
## 6403 United-States <=50K
## 6404 United-States <=50K
## 6405 United-States <=50K
## 6406 United-States <=50K
## 6407 United-States >50K
## 6408 United-States <=50K
## 6409 United-States <=50K
## 6410 United-States <=50K
## 6411 United-States <=50K
## 6412 United-States <=50K
## 6413 United-States <=50K
## 6414 United-States <=50K
## 6415 United-States >50K
## 6416 United-States >50K
## 6417 United-States >50K
## 6418 United-States <=50K
## 6419 United-States <=50K
## 6420 United-States >50K
## 6421 United-States >50K
## 6422 Haiti <=50K
## 6423 Puerto-Rico <=50K
## 6424 United-States <=50K
## 6425 Greece <=50K
## 6426 United-States <=50K
## 6427 United-States >50K
## 6428 United-States <=50K
## 6429 United-States <=50K
## 6430 United-States >50K
## 6431 United-States <=50K
## 6432 United-States <=50K
## 6433 United-States <=50K
## 6434 Mexico <=50K
## 6435 United-States <=50K
## 6436 United-States <=50K
## 6437 United-States <=50K
## 6438 United-States <=50K
## 6439 United-States <=50K
## 6440 United-States <=50K
## 6441 United-States <=50K
## 6442 United-States <=50K
## 6443 United-States >50K
## 6444 United-States <=50K
## 6445 United-States <=50K
## 6446 United-States <=50K
## 6447 United-States <=50K
## 6448 United-States <=50K
## 6449 United-States <=50K
## 6450 United-States <=50K
## 6451 United-States <=50K
## 6452 United-States <=50K
## 6453 United-States <=50K
## 6454 United-States >50K
## 6455 United-States <=50K
## 6456 United-States >50K
## 6457 United-States <=50K
## 6458 United-States >50K
## 6459 United-States <=50K
## 6460 United-States <=50K
## 6461 Puerto-Rico <=50K
## 6462 United-States <=50K
## 6463 United-States <=50K
## 6464 United-States <=50K
## 6465 United-States <=50K
## 6466 United-States >50K
## 6467 United-States <=50K
## 6468 United-States <=50K
## 6469 United-States >50K
## 6470 United-States <=50K
## 6471 United-States <=50K
## 6472 United-States <=50K
## 6473 United-States <=50K
## 6474 United-States <=50K
## 6475 United-States <=50K
## 6476 United-States >50K
## 6477 United-States <=50K
## 6478 United-States <=50K
## 6479 United-States >50K
## 6480 United-States <=50K
## 6481 United-States <=50K
## 6482 United-States <=50K
## 6483 United-States >50K
## 6484 United-States >50K
## 6485 United-States >50K
## 6486 Mexico >50K
## 6487 United-States <=50K
## 6488 United-States >50K
## 6489 United-States <=50K
## 6490 United-States <=50K
## 6491 United-States <=50K
## 6492 United-States <=50K
## 6493 United-States >50K
## 6494 South <=50K
## 6495 United-States <=50K
## 6496 United-States <=50K
## 6497 United-States <=50K
## 6498 United-States <=50K
## 6499 United-States <=50K
## 6500 United-States >50K
## 6501 United-States >50K
## 6502 United-States <=50K
## 6503 United-States <=50K
## 6504 United-States <=50K
## 6505 United-States <=50K
## 6506 Philippines <=50K
## 6507 United-States <=50K
## 6508 United-States <=50K
## 6509 United-States <=50K
## 6510 United-States <=50K
## 6511 United-States <=50K
## 6512 United-States <=50K
## 6513 United-States >50K
## 6514 United-States >50K
## 6515 United-States <=50K
## 6516 United-States <=50K
## 6517 United-States <=50K
## 6518 United-States <=50K
## 6519 United-States <=50K
## 6520 United-States >50K
## 6521 United-States <=50K
## 6522 Mexico <=50K
## 6523 United-States <=50K
## 6524 United-States <=50K
## 6525 Mexico >50K
## 6526 United-States <=50K
## 6527 United-States <=50K
## 6528 Iran <=50K
## 6529 United-States >50K
## 6530 United-States <=50K
## 6531 United-States >50K
## 6532 United-States <=50K
## 6533 Canada <=50K
## 6534 ? >50K
## 6535 United-States <=50K
## 6536 United-States >50K
## 6537 United-States <=50K
## 6538 United-States >50K
## 6539 United-States <=50K
## 6540 United-States <=50K
## 6541 United-States <=50K
## 6542 United-States <=50K
## 6543 United-States <=50K
## 6544 United-States <=50K
## 6545 United-States <=50K
## 6546 United-States <=50K
## 6547 United-States >50K
## 6548 United-States >50K
## 6549 United-States >50K
## 6550 Taiwan <=50K
## 6551 United-States <=50K
## 6552 United-States <=50K
## 6553 United-States <=50K
## 6554 United-States <=50K
## 6555 United-States <=50K
## 6556 United-States >50K
## 6557 United-States >50K
## 6558 United-States <=50K
## 6559 United-States <=50K
## 6560 Italy <=50K
## 6561 India <=50K
## 6562 United-States >50K
## 6563 United-States <=50K
## 6564 United-States >50K
## 6565 United-States <=50K
## 6566 United-States <=50K
## 6567 United-States <=50K
## 6568 United-States <=50K
## 6569 United-States <=50K
## 6570 United-States >50K
## 6571 South <=50K
## 6572 United-States <=50K
## 6573 United-States <=50K
## 6574 United-States >50K
## 6575 United-States >50K
## 6576 United-States <=50K
## 6577 United-States >50K
## 6578 United-States <=50K
## 6579 Jamaica <=50K
## 6580 United-States <=50K
## 6581 Germany >50K
## 6582 United-States >50K
## 6583 United-States <=50K
## 6584 Guatemala <=50K
## 6585 United-States <=50K
## 6586 United-States <=50K
## 6587 United-States <=50K
## 6588 United-States <=50K
## 6589 United-States <=50K
## 6590 United-States <=50K
## 6591 Italy >50K
## 6592 United-States <=50K
## 6593 United-States <=50K
## 6594 United-States <=50K
## 6595 United-States <=50K
## 6596 United-States >50K
## 6597 United-States <=50K
## 6598 United-States <=50K
## 6599 United-States >50K
## 6600 United-States >50K
## 6601 United-States <=50K
## 6602 Jamaica <=50K
## 6603 United-States <=50K
## 6604 United-States >50K
## 6605 Iran <=50K
## 6606 United-States <=50K
## 6607 Italy >50K
## 6608 United-States <=50K
## 6609 United-States >50K
## 6610 United-States >50K
## 6611 United-States <=50K
## 6612 United-States <=50K
## 6613 United-States <=50K
## 6614 Mexico <=50K
## 6615 United-States >50K
## 6616 United-States <=50K
## 6617 United-States <=50K
## 6618 United-States <=50K
## 6619 United-States <=50K
## 6620 United-States <=50K
## 6621 Mexico <=50K
## 6622 United-States >50K
## 6623 United-States <=50K
## 6624 United-States <=50K
## 6625 United-States <=50K
## 6626 United-States >50K
## 6627 United-States <=50K
## 6628 United-States <=50K
## 6629 United-States <=50K
## 6630 United-States <=50K
## 6631 United-States <=50K
## 6632 South <=50K
## 6633 United-States <=50K
## 6634 United-States >50K
## 6635 Jamaica <=50K
## 6636 Greece <=50K
## 6637 United-States <=50K
## 6638 United-States >50K
## 6639 United-States <=50K
## 6640 United-States >50K
## 6641 United-States <=50K
## 6642 United-States <=50K
## 6643 United-States <=50K
## 6644 United-States <=50K
## 6645 United-States <=50K
## 6646 United-States <=50K
## 6647 United-States <=50K
## 6648 United-States <=50K
## 6649 United-States >50K
## 6650 United-States >50K
## 6651 United-States <=50K
## 6652 United-States <=50K
## 6653 United-States >50K
## 6654 United-States <=50K
## 6655 United-States <=50K
## 6656 Jamaica >50K
## 6657 United-States <=50K
## 6658 United-States <=50K
## 6659 United-States >50K
## 6660 United-States <=50K
## 6661 United-States >50K
## 6662 United-States >50K
## 6663 United-States <=50K
## 6664 United-States <=50K
## 6665 United-States >50K
## 6666 United-States >50K
## [ reached 'max' / getOption("max.print") -- omitted 25896 rows ]
## age workclass similar_pop_count
## Min. :17.00 Private :22696 Min. : 12285
## 1st Qu.:28.00 Self-emp-not-inc: 2541 1st Qu.: 117827
## Median :37.00 Local-gov : 2093 Median : 178356
## Mean :38.58 ? : 1836 Mean : 189778
## 3rd Qu.:48.00 State-gov : 1298 3rd Qu.: 237051
## Max. :90.00 Self-emp-inc : 1116 Max. :1484705
## NA's :1 (Other) : 982 NA's :1
## education_level years_education marital_status
## HS-grad :10501 Min. : 1.00 Married-civ-spouse :14976
## Some-college: 7291 1st Qu.: 9.00 Never-married :10683
## Bachelors : 5355 Median :10.00 Divorced : 4443
## Masters : 1723 Mean :10.08 Separated : 1025
## Assoc-voc : 1382 3rd Qu.:12.00 Widowed : 993
## 11th : 1175 Max. :16.00 Married-spouse-absent: 418
## (Other) : 5135 NA's :1 (Other) : 24
## occupation household_role race
## Prof-specialty :4140 : 1 : 1
## Craft-repair :4099 Husband :13193 Amer-Indian-Eskimo: 311
## Exec-managerial:4066 Not-in-family : 8305 Asian-Pac-Islander: 1039
## Adm-clerical :3770 Other-relative: 981 Black : 3124
## Sales :3650 Own-child : 5068 Other : 271
## Other-service :3295 Unmarried : 3446 White :27816
## (Other) :9542 Wife : 1568
## gender capital_gain capital_loss hours_per_week
## : 1 Min. : 0 Min. : 0.0 Min. : 1.00
## Female:10771 1st Qu.: 0 1st Qu.: 0.0 1st Qu.:40.00
## Male :21790 Median : 0 Median : 0.0 Median :40.00
## Mean : 1078 Mean : 87.3 Mean :40.44
## 3rd Qu.: 0 3rd Qu.: 0.0 3rd Qu.:45.00
## Max. :99999 Max. :4356.0 Max. :99.00
## NA's :1 NA's :1 NA's :1
## native_region income
## United-States:29170 : 1
## Mexico : 643 <=50K:24720
## ? : 583 >50K : 7841
## Philippines : 198
## Germany : 137
## Canada : 121
## (Other) : 1710
#Checking data types
str(adult)
## 'data.frame': 32562 obs. of 15 variables:
## $ age : int 39 50 38 53 28 37 49 52 31 42 ...
## $ workclass : Factor w/ 10 levels ""," ?"," Federal-gov",..: 9 8 6 6 6 6 6 8 6 6 ...
## $ similar_pop_count: int 77516 83311 215646 234721 338409 284582 160187 209642 45781 159449 ...
## $ education_level : Factor w/ 17 levels ""," 10th"," 11th",..: 11 11 13 3 11 14 8 13 14 11 ...
## $ years_education : int 13 13 9 7 13 14 5 9 14 13 ...
## $ marital_status : Factor w/ 8 levels ""," Divorced",..: 6 4 2 4 4 4 5 4 6 4 ...
## $ occupation : Factor w/ 16 levels ""," ?"," Adm-clerical",..: 3 6 8 8 12 6 10 6 12 6 ...
## $ household_role : Factor w/ 7 levels ""," Husband",..: 3 2 3 2 7 7 3 2 3 2 ...
## $ race : Factor w/ 6 levels ""," Amer-Indian-Eskimo",..: 6 6 6 4 4 6 4 6 6 6 ...
## $ gender : Factor w/ 3 levels ""," Female"," Male": 3 3 3 3 2 2 2 3 2 3 ...
## $ capital_gain : int 2174 0 0 0 0 0 0 0 14084 5178 ...
## $ capital_loss : int 0 0 0 0 0 0 0 0 0 0 ...
## $ hours_per_week : int 40 13 40 40 40 40 16 45 50 40 ...
## $ native_region : Factor w/ 43 levels ""," ?"," Cambodia",..: 41 41 41 41 7 41 25 41 41 41 ...
## $ income : Factor w/ 3 levels ""," <=50K"," >50K": 2 2 2 2 2 2 2 3 3 3 ...
cat("\n------------------Count NA----------------------\n\n")
##
## ------------------Count NA----------------------
sort(colSums(is.na(adult)), decreasing = TRUE)
## age similar_pop_count years_education capital_gain
## 1 1 1 1
## capital_loss hours_per_week workclass education_level
## 1 1 0 0
## marital_status occupation household_role race
## 0 0 0 0
## gender native_region income
## 0 0 0
vis_miss(adult)
dim(adult)
## [1] 32562 15
# Function to recode the values with trimmed spaces
recode_value <- function(old_level) {
old_level <- trimws(old_level) # Trim leading and trailing whitespace
for (category in names(new_levels)) {
if (old_level %in% new_levels[[category]]) {
return(category)
}
}
return(NA) # Return NA if the education level does not match any category
}
levels(adult$workclass)<- c("unemployed", "unemployed","FedGov","LocGov","NeverWorked","Private",
"SelfEmpInc","SelfEmpNotInc","StateGov","unemployed")
# The new education level categories
new_levels <- list(
no_edu = c("", "Preschool"),
primary = c("1st-4th", "5th-6th"),
secondary = c("7th-8th"),
highsch = c("9th", "10th", "11th", "12th", "HS-grad"),
assoc = c("Assoc-acdm", "Assoc-voc", "Some-college"),
undergrad = c("Bachelors", "Prof-school"),
master = c("Masters"),
phd = c("Doctorate")
)
# Recode the education levels with the updated function
adult$education_level <- sapply(adult$education_level, recode_value)
# recreate the levels
levels(adult$education_level)<- c("no_edu", "primary", "secondary", "highsch", "assoc", "undergrad", "master", "phd")
# The new marital status categories
new_levels <- list(
divorce = c("Divorced", "Separated"),
married = c("Married-AF-spouse", "Married-civ-spouse", "Married-spouse-absent"),
notmarried = c("", "Never-married"),
widowed = c("Widowed")
)
# Recode the marital statuses with the updated function
adult$marital_status <- sapply(adult$marital_status, recode_value)
# recreate the levels
levels(adult$marital_status)<- c("divorce", "married", "notmarried", "widowed")
new_levels <- list(
other = c("", "?"),
clerical = c("Adm-clerical"),
midskill = c("Craft-repair", "Machine-op-inspct", "Transport-moving"),
lowskill = c("Handlers-cleaners", "Other-service", "Priv-house-serv", "Armed-Forces"),
highskill = c("Sales", "Tech-support", "Protective-serv", "Prof-specialty", "Exec-managerial"),
agriculture = c("Farming-fishing")
)
# Recode the marital statuses with the updated function
adult$occupation <- sapply(adult$occupation, recode_value)
# recreate the levels
levels(adult$occupation)<- c("other", "clerical", "midskill", "lowskill", "highskill", "agriculture")
# Define the new levels for household_role
new_levels <- list(
husband = c("Husband"),
wife = c("Wife"),
tenant = c("Not-in-family"),
single_occ = c("Unmarried", ""),
relative = c("Other-relative"),
depchild = c("Own-child")
)
# Recode the household_role column using the recode function
adult$household_role <- sapply(adult$household_role, recode_value)
# Convert the recoded household_role to a factor
adult$household_role <- factor(adult$household_role, levels = names(new_levels))
# Define the new levels for native_country
new_levels <- list(
EAsia = c("Vietnam", "Laos", "Cambodia", "Thailand", "China", "Hong", "Taiwan", "Philippines", "Japan"),
SAsia = c("India", "Iran"),
NorthAmerica = c("Canada", "Mexico", "United-States"),
CentrAmerica = c("Cuba", "Dominican-Republic", "Guatemala", "Haiti", "Honduras", "Jamaica", "Trinadad&Tobago", "Nicaragua", "El-Salvador", "", "?"),
SouthAmerica = c("Ecuador", "Peru", "Columbia", "South"),
Europe = c("France", "Germany", "Greece", "Holand-Netherlands", "Italy", "Hungary", "Ireland", "Poland", "Portugal", "Scotland", "England", "Yugoslavia"),
USTerritory = c("Outlying-US(Guam-USVI-etc)", "Puerto-Rico")
)
# Recode the native_country column using the recode function
adult$native_region <- sapply(adult$native_region, recode_value)
# Convert the recoded native_country to a factor
adult$native_region <- factor(adult$native_region)
# Define the new levels for income
new_levels <- list(
"<=50K" = c("<=50K", ""),
">50K" = c(">50K")
)
# Recode the income column using the recode function
adult$income <- sapply(adult$income, recode_value)
# Convert the recoded income to a factor
adult$income <- factor(adult$income, levels = names(new_levels))
levels(adult$income)
## [1] "<=50K" ">50K"
# Define the new levels for gender
new_levels <- list(
"female" = c("Female", ""),
"male" = c("Male")
)
# Recode the gender column using the recode function
adult$gender <- sapply(adult$gender, recode_value)
# Convert the recoded gender to a factor
adult$gender <- factor(adult$gender, levels = names(new_levels))
levels(adult$gender)
## [1] "female" "male"
# Define the new levels for race
new_levels <- list(
other = c("Other", ""),
white = c("White"),
black = c("Black"),
native = c("Amer-Indian-Eskimo"),
Asian_Pac_Islander = c("Asian-Pac-Islander")
)
# Recode the race column using the recode function
adult$race <- sapply(adult$race, recode_value)
# Convert the recoded race to a factor
adult$race <- factor(adult$race, levels = names(new_levels))
levels(adult$race)
## [1] "other" "white" "black"
## [4] "native" "Asian_Pac_Islander"
# get the average of all remaining missing values
replace_missing_with_average <- function(data) {
for (col_name in names(data)) {
# Check if the column is numeric
if (is.numeric(data[[col_name]])) {
# Calculate the average, excluding NA values
column_mean <- mean(data[[col_name]], na.rm = TRUE)
# Replace NA values with the column's average
data[[col_name]][is.na(data[[col_name]])] <- column_mean
}
}
return(data)
}
# Call the replace function:
adult <- replace_missing_with_average(adult)
# Make sure categorical variables are factored
adult[] <- lapply(adult, function(x) if(is.character(x)) as.factor(x) else x)
# Create the spans in a new column
adult <- adult %>%
mutate(hours_worked_span = case_when(
`hours_per_week` >= 1 & `hours_per_week` <= 15 ~ "1-15",
`hours_per_week` >= 16 & `hours_per_week` <= 30 ~ "16-30",
`hours_per_week` >= 31 & `hours_per_week` <= 45 ~ "31-45",
`hours_per_week` >= 46 & `hours_per_week` <= 60 ~ "46-60",
`hours_per_week` >= 61 & `hours_per_week` <= 75 ~ "61-75",
`hours_per_week` >= 76 & `hours_per_week` <= 100 ~ "76-100",
TRUE ~ NA_character_ # Handle any other cases
))
# Convert the recoded hours_worked_span to a factor
adult$hours_worked_span <- factor(adult$hours_worked_span, levels = c("1-15", "16-30", "31-45", "46-60", "61-75", "76-100"))
# Check the levels
levels(adult$hours_worked_span)
## [1] "1-15" "16-30" "31-45" "46-60" "61-75" "76-100"
# Create new spans and a column
adult <- adult %>%
mutate(age_span = cut(age, breaks = c(0, 20, 35, 50, 65, 75, 100),
labels = c("1-20", "21-35", "36-50", "51-65", "66-75", "76-100"),
right = FALSE))
# Convert the 'age_span' column to a categorical type with ordered levels
adult$age_span <- factor(adult$age_span,
levels = c("1-20", "21-35", "36-50", "51-65", "66-75", "76-100"),
ordered = TRUE)
# Check the levels of the new factor
levels(adult$age_span)
## [1] "1-20" "21-35" "36-50" "51-65" "66-75" "76-100"
# Review changes
adult
## age workclass similar_pop_count education_level years_education
## 1 39 StateGov 77516 undergrad 13
## 2 50 SelfEmpNotInc 83311 undergrad 13
## 3 38 Private 215646 highsch 9
## 4 53 Private 234721 highsch 7
## 5 28 Private 338409 undergrad 13
## 6 37 Private 284582 master 14
## 7 49 Private 160187 highsch 5
## 8 52 SelfEmpNotInc 209642 highsch 9
## 9 31 Private 45781 master 14
## 10 42 Private 159449 undergrad 13
## 11 37 Private 280464 assoc 10
## 12 30 StateGov 141297 undergrad 13
## 13 23 Private 122272 undergrad 13
## 14 32 Private 205019 assoc 12
## 15 40 Private 121772 assoc 11
## 16 34 Private 245487 secondary 4
## 17 25 SelfEmpNotInc 176756 highsch 9
## 18 32 Private 186824 highsch 9
## 19 38 Private 28887 highsch 7
## 20 43 SelfEmpNotInc 292175 master 14
## 21 40 Private 193524 phd 16
## 22 54 Private 302146 highsch 9
## 23 35 FedGov 76845 highsch 5
## 24 43 Private 117037 highsch 7
## 25 59 Private 109015 highsch 9
## 26 56 LocGov 216851 undergrad 13
## 27 19 Private 168294 highsch 9
## 28 54 unemployed 180211 assoc 10
## 29 39 Private 367260 highsch 9
## 30 49 Private 193366 highsch 9
## 31 23 LocGov 190709 assoc 12
## 32 20 Private 266015 assoc 10
## 33 45 Private 386940 undergrad 13
## 34 30 FedGov 59951 assoc 10
## 35 22 StateGov 311512 assoc 10
## 36 48 Private 242406 highsch 7
## 37 21 Private 197200 assoc 10
## 38 19 Private 544091 highsch 9
## 39 31 Private 84154 assoc 10
## 40 48 SelfEmpNotInc 265477 assoc 12
## 41 31 Private 507875 highsch 5
## 42 53 SelfEmpNotInc 88506 undergrad 13
## 43 24 Private 172987 undergrad 13
## 44 49 Private 94638 highsch 9
## 45 25 Private 289980 highsch 9
## 46 57 FedGov 337895 undergrad 13
## 47 53 Private 144361 highsch 9
## 48 44 Private 128354 master 14
## 49 41 StateGov 101603 assoc 11
## 50 29 Private 271466 assoc 11
## 51 25 Private 32275 assoc 10
## 52 18 Private 226956 highsch 9
## 53 47 Private 51835 undergrad 15
## 54 50 FedGov 251585 undergrad 13
## 55 47 SelfEmpInc 109832 highsch 9
## 56 43 Private 237993 assoc 10
## 57 46 Private 216666 primary 3
## 58 35 Private 56352 assoc 11
## 59 41 Private 147372 highsch 9
## 60 30 Private 188146 highsch 9
## 61 30 Private 59496 undergrad 13
## 62 32 unemployed 293936 secondary 4
## 63 48 Private 149640 highsch 9
## 64 42 Private 116632 phd 16
## 65 29 Private 105598 assoc 10
## 66 36 Private 155537 highsch 9
## 67 28 Private 183175 assoc 10
## 68 53 Private 169846 highsch 9
## 69 49 SelfEmpInc 191681 assoc 10
## 70 25 unemployed 200681 assoc 10
## 71 19 Private 101509 assoc 10
## 72 31 Private 309974 undergrad 13
## 73 29 SelfEmpNotInc 162298 undergrad 13
## 74 23 Private 211678 assoc 10
## 75 79 Private 124744 assoc 10
## 76 27 Private 213921 highsch 9
## 77 40 Private 32214 assoc 12
## 78 67 unemployed 212759 highsch 6
## 79 18 Private 309634 highsch 7
## 80 31 LocGov 125927 secondary 4
## 81 18 Private 446839 highsch 9
## 82 52 Private 276515 undergrad 13
## 83 46 Private 51618 highsch 9
## 84 59 Private 159937 highsch 9
## 85 44 Private 343591 highsch 9
## 86 53 Private 346253 highsch 9
## 87 49 LocGov 268234 highsch 9
## 88 33 Private 202051 master 14
## 89 30 Private 54334 highsch 5
## 90 43 FedGov 410867 phd 16
## 91 57 Private 249977 assoc 11
## 92 37 Private 286730 assoc 10
## 93 28 Private 212563 assoc 10
## 94 30 Private 117747 highsch 9
## 95 34 LocGov 226296 undergrad 13
## 96 29 LocGov 115585 assoc 10
## 97 48 SelfEmpNotInc 191277 phd 16
## 98 37 Private 202683 assoc 10
## 99 48 Private 171095 assoc 12
## 100 32 FedGov 249409 highsch 9
## 101 76 Private 124191 master 14
## 102 44 Private 198282 undergrad 13
## 103 47 SelfEmpNotInc 149116 master 14
## 104 20 Private 188300 assoc 10
## 105 29 Private 103432 highsch 9
## 106 32 SelfEmpInc 317660 highsch 9
## 107 17 unemployed 304873 highsch 6
## 108 30 Private 194901 highsch 7
## 109 31 LocGov 189265 highsch 9
## 110 42 Private 124692 highsch 9
## 111 24 Private 432376 undergrad 13
## 112 38 Private 65324 undergrad 15
## 113 56 SelfEmpNotInc 335605 highsch 9
## 114 28 Private 377869 assoc 10
## 115 36 Private 102864 highsch 9
## 116 53 Private 95647 highsch 5
## 117 56 SelfEmpInc 303090 assoc 10
## 118 49 LocGov 197371 assoc 11
## 119 55 Private 247552 assoc 10
## 120 22 Private 102632 highsch 9
## 121 21 Private 199915 assoc 10
## 122 40 Private 118853 undergrad 13
## 123 30 Private 77143 undergrad 13
## 124 29 StateGov 267989 undergrad 13
## 125 19 Private 301606 assoc 10
## 126 47 Private 287828 undergrad 13
## 127 20 Private 111697 assoc 10
## 128 31 Private 114937 assoc 12
## 129 35 unemployed 129305 highsch 9
## 130 39 Private 365739 assoc 10
## 131 28 Private 69621 assoc 12
## 132 24 Private 43323 highsch 9
## 133 38 SelfEmpNotInc 120985 highsch 9
## 134 37 Private 254202 undergrad 13
## 135 46 Private 146195 assoc 12
## 136 38 FedGov 125933 master 14
## 137 43 SelfEmpNotInc 56920 highsch 9
## 138 27 Private 163127 assoc 11
## 139 20 Private 34310 assoc 10
## 140 49 Private 81973 assoc 10
## 141 61 SelfEmpInc 66614 highsch 9
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## marital_status occupation household_role race gender
## 1 notmarried clerical tenant white male
## 2 married highskill husband white male
## 3 divorce lowskill tenant white male
## 4 married lowskill husband black male
## 5 married highskill wife black female
## 6 married highskill wife white female
## 7 married lowskill tenant black female
## 8 married highskill husband white male
## 9 notmarried highskill tenant white female
## 10 married highskill husband white male
## 11 married highskill husband black male
## 12 married highskill husband Asian_Pac_Islander male
## 13 notmarried clerical depchild white female
## 14 notmarried highskill tenant black male
## 15 married midskill husband Asian_Pac_Islander male
## 16 married midskill husband native male
## 17 notmarried agriculture depchild white male
## 18 notmarried midskill single_occ white male
## 19 married highskill husband white male
## 20 divorce highskill single_occ white female
## 21 married highskill husband white male
## 22 divorce lowskill single_occ black female
## 23 married agriculture husband black male
## 24 married midskill husband white male
## 25 divorce highskill single_occ white female
## 26 married highskill husband white male
## 27 notmarried midskill depchild white male
## 28 married other husband Asian_Pac_Islander male
## 29 divorce highskill tenant white male
## 30 married midskill husband white male
## 31 notmarried highskill tenant white male
## 32 notmarried highskill depchild black male
## 33 divorce highskill depchild white male
## 34 married clerical depchild white male
## 35 married lowskill husband black male
## 36 notmarried midskill single_occ white male
## 37 notmarried midskill depchild white male
## 38 married clerical wife white female
## 39 married highskill husband white male
## 40 married highskill husband white male
## 41 married midskill husband white male
## 42 married highskill husband white male
## 43 married highskill husband white male
## 44 divorce clerical single_occ white female
## 45 notmarried lowskill tenant white male
## 46 married highskill husband black male
## 47 married midskill husband white male
## 48 divorce highskill single_occ white female
## 49 married midskill husband white male
## 50 notmarried highskill tenant white male
## 51 married highskill wife other female
## 52 notmarried lowskill depchild white female
## 53 married highskill wife white female
## 54 divorce highskill tenant white male
## 55 divorce highskill tenant white male
## 56 married highskill husband white male
## 57 married midskill husband white male
## 58 married lowskill husband white male
## 59 married clerical husband white male
## 60 married midskill husband white male
## 61 married highskill husband white male
## 62 married other tenant white male
## 63 married midskill husband white male
## 64 married highskill husband white male
## 65 divorce highskill tenant white male
## 66 married midskill husband white male
## 67 divorce clerical tenant white female
## 68 married clerical wife white female
## 69 married highskill husband white male
## 70 notmarried other depchild white male
## 71 notmarried highskill depchild white male
## 72 divorce highskill depchild black female
## 73 married highskill husband white male
## 74 notmarried midskill tenant white male
## 75 married highskill relative white male
## 76 notmarried lowskill depchild white male
## 77 married clerical husband white male
## 78 married other husband white male
## 79 notmarried lowskill depchild white female
## 80 married agriculture husband white male
## 81 notmarried highskill tenant white male
## 82 married lowskill husband white male
## 83 married lowskill wife white female
## 84 married highskill husband white male
## 85 divorce midskill tenant white female
## 86 divorce highskill depchild white female
## 87 married highskill husband white male
## 88 married highskill husband white male
## 89 notmarried highskill tenant white male
## 90 notmarried highskill tenant white female
## 91 married highskill husband white male
## 92 divorce midskill single_occ white female
## 93 divorce midskill single_occ black female
## 94 married highskill wife Asian_Pac_Islander female
## 95 married highskill husband white male
## 96 notmarried lowskill tenant white male
## 97 married highskill husband white male
## 98 married highskill husband white male
## 99 divorce highskill single_occ white female
## 100 notmarried lowskill depchild black male
## 101 married highskill husband white male
## 102 married highskill husband white male
## 103 notmarried highskill tenant white female
## 104 notmarried highskill depchild white female
## 105 notmarried midskill tenant white male
## 106 married midskill husband white male
## 107 notmarried other depchild white female
## 108 notmarried lowskill depchild white male
## 109 notmarried clerical tenant white female
## 110 married lowskill husband white male
## 111 notmarried highskill relative white male
## 112 married highskill husband white male
## 113 married lowskill husband white male
## 114 married highskill wife white female
## 115 notmarried midskill depchild white female
## 116 married lowskill husband white male
## 117 married highskill husband white male
## 118 married midskill husband black male
## 119 married highskill husband white male
## 120 notmarried midskill tenant white male
## 121 notmarried lowskill depchild white female
## 122 married highskill husband white male
## 123 notmarried highskill depchild black male
## 124 married highskill husband white male
## 125 notmarried lowskill depchild black male
## 126 married highskill wife white female
## 127 notmarried clerical depchild white female
## 128 married clerical husband white male
## 129 married other husband white male
## 130 divorce midskill tenant white male
## 131 notmarried highskill tenant white female
## 132 notmarried lowskill tenant white female
## 133 married midskill husband white male
## 134 married highskill husband white male
## 135 divorce highskill tenant black female
## 136 married highskill husband white male
## 137 married midskill husband white male
## 138 married clerical wife white female
## 139 notmarried highskill depchild white male
## 140 married midskill husband Asian_Pac_Islander male
## 141 married midskill husband white male
## 142 notmarried highskill depchild white female
## 143 notmarried lowskill depchild white male
## 144 notmarried highskill tenant white female
## 145 notmarried highskill relative white male
## 146 notmarried midskill single_occ black female
## 147 married lowskill husband white male
## 148 widowed lowskill single_occ white female
## 149 married midskill husband white male
## 150 divorce other tenant white female
## 151 divorce clerical single_occ white female
## 152 notmarried clerical tenant white female
## 153 notmarried highskill relative Asian_Pac_Islander female
## 154 notmarried midskill depchild white male
## 155 divorce other tenant white male
## 156 married midskill husband white male
## 157 notmarried lowskill tenant white male
## 158 divorce highskill single_occ black male
## 159 divorce midskill tenant white male
## 160 divorce lowskill relative black male
## 161 divorce other tenant white female
## 162 notmarried lowskill single_occ white female
## 163 divorce highskill single_occ Asian_Pac_Islander female
## 164 notmarried highskill tenant Asian_Pac_Islander female
## 165 married highskill husband white male
## 166 divorce lowskill single_occ white female
## 167 notmarried highskill tenant white male
## 168 widowed highskill single_occ white male
## 169 notmarried lowskill depchild white male
## 170 widowed highskill tenant white female
## 171 notmarried lowskill tenant white male
## 172 married highskill husband white male
## 173 married highskill husband white male
## 174 notmarried midskill tenant white male
## 175 married highskill husband white male
## 176 married highskill single_occ white female
## 177 notmarried midskill depchild black male
## 178 notmarried lowskill tenant black male
## 179 notmarried lowskill depchild white male
## 180 married highskill husband white male
## 181 married highskill husband black male
## 182 divorce clerical tenant white female
## 183 notmarried midskill tenant black male
## 184 married midskill husband white male
## 185 married clerical husband white male
## 186 married clerical husband black male
## 187 divorce highskill tenant white female
## 188 divorce other tenant white female
## 189 married highskill wife white female
## 190 married highskill husband white male
## 191 divorce midskill tenant black female
## 192 married midskill husband white male
## 193 married midskill husband black male
## 194 married highskill husband white male
## 195 married highskill husband white male
## 196 married midskill relative white male
## 197 divorce midskill tenant white male
## 198 notmarried highskill tenant white female
## 199 married highskill relative white male
## 200 notmarried highskill tenant white male
## 201 notmarried highskill tenant white female
## 202 notmarried other depchild white male
## 203 married highskill husband white male
## 204 notmarried highskill tenant white female
## 205 divorce clerical single_occ white female
## 206 notmarried highskill depchild white female
## 207 married lowskill husband black male
## 208 divorce midskill tenant white male
## 209 married highskill wife white female
## 210 notmarried highskill depchild white female
## 211 married midskill husband black male
## 212 married midskill husband white male
## 213 notmarried highskill tenant native female
## 214 married midskill husband Asian_Pac_Islander male
## 215 married midskill husband white male
## 216 notmarried highskill tenant black male
## 217 divorce highskill tenant white female
## 218 married highskill husband white male
## 219 married highskill husband white male
## 220 notmarried midskill tenant white male
## 221 married lowskill husband white male
## 222 divorce other tenant white male
## 223 notmarried lowskill tenant black male
## 224 married clerical husband black male
## 225 notmarried midskill tenant white female
## 226 notmarried highskill depchild white female
## 227 divorce other tenant native female
## 228 married agriculture husband white male
## 229 widowed clerical tenant white female
## 230 divorce clerical tenant white female
## 231 divorce midskill tenant black male
## 232 divorce highskill single_occ black female
## 233 notmarried clerical tenant white male
## 234 divorce midskill relative other female
## 235 notmarried highskill tenant white male
## 236 married lowskill husband white male
## 237 notmarried clerical tenant white female
## 238 married highskill husband white male
## 239 married highskill husband white male
## 240 notmarried midskill depchild white male
## 241 married highskill husband white male
## 242 married lowskill wife white female
## 243 married highskill husband white male
## 244 notmarried other depchild white male
## 245 divorce midskill tenant white male
## 246 married clerical husband white male
## 247 married clerical husband white male
## 248 notmarried lowskill tenant white female
## 249 married highskill husband white male
## 250 married clerical husband white male
## 251 married highskill wife white female
## 252 married clerical wife black female
## 253 widowed lowskill single_occ black female
## 254 notmarried clerical depchild white male
## 255 notmarried midskill tenant white male
## 256 married agriculture husband Asian_Pac_Islander male
## 257 notmarried lowskill depchild white female
## 258 divorce lowskill tenant white female
## 259 widowed highskill tenant white female
## 260 divorce midskill tenant white male
## 261 divorce highskill depchild white female
## 262 married highskill husband white male
## 263 notmarried lowskill depchild white male
## 264 married highskill husband white male
## 265 married midskill husband white male
## 266 married highskill husband Asian_Pac_Islander male
## 267 notmarried other depchild white male
## 268 married highskill husband white male
## 269 notmarried highskill tenant white female
## 270 married midskill wife white female
## 271 married highskill husband white male
## 272 notmarried lowskill depchild white male
## 273 married agriculture husband white male
## 274 notmarried highskill depchild white male
## 275 divorce highskill depchild white female
## 276 married lowskill husband black male
## 277 married midskill husband white male
## 278 notmarried highskill tenant white female
## 279 notmarried highskill depchild white female
## 280 married midskill wife white female
## 281 notmarried highskill tenant white female
## 282 married midskill husband white male
## 283 divorce highskill single_occ black female
## 284 divorce highskill tenant white female
## 285 notmarried lowskill depchild white male
## 286 married highskill husband white male
## 287 married highskill husband white male
## 288 divorce lowskill tenant white male
## 289 notmarried highskill tenant white female
## 290 married midskill husband white male
## 291 married highskill husband white male
## 292 divorce highskill tenant white female
## 293 notmarried highskill tenant white male
## 294 notmarried highskill depchild white male
## 295 notmarried highskill single_occ black female
## 296 married midskill husband white male
## 297 divorce highskill tenant white female
## 298 married other wife Asian_Pac_Islander female
## 299 notmarried midskill depchild white male
## 300 divorce highskill tenant white male
## 301 married clerical husband white male
## 302 notmarried lowskill tenant Asian_Pac_Islander female
## 303 married midskill husband white male
## 304 married highskill husband white male
## 305 married clerical wife Asian_Pac_Islander female
## 306 divorce clerical tenant white female
## 307 notmarried highskill tenant white male
## 308 notmarried highskill tenant white female
## 309 married clerical husband white male
## 310 married agriculture husband white male
## 311 notmarried highskill tenant white male
## 312 married highskill husband Asian_Pac_Islander male
## 313 notmarried other depchild black female
## 314 divorce highskill tenant black female
## 315 notmarried highskill depchild white male
## 316 notmarried midskill tenant white male
## 317 married highskill husband white male
## 318 married midskill relative white female
## 319 notmarried highskill tenant white female
## 320 widowed lowskill tenant white female
## 321 married highskill husband white male
## 322 married midskill husband white male
## 323 divorce midskill tenant white male
## 324 notmarried highskill tenant white female
## 325 married midskill husband white male
## 326 married agriculture husband white male
## 327 notmarried other depchild black female
## 328 married highskill wife white female
## 329 married lowskill husband white male
## 330 notmarried midskill tenant white male
## 331 notmarried midskill tenant black male
## 332 notmarried clerical tenant white male
## 333 notmarried lowskill tenant white male
## 334 married clerical husband white male
## 335 married midskill husband white male
## 336 notmarried lowskill relative white male
## 337 notmarried midskill relative white male
## 338 notmarried highskill tenant white male
## 339 notmarried highskill single_occ black male
## 340 married lowskill husband black male
## 341 notmarried highskill tenant white male
## 342 married midskill husband white male
## 343 married highskill husband white male
## 344 notmarried agriculture tenant white male
## 345 notmarried highskill depchild black female
## 346 notmarried highskill tenant white male
## 347 married other husband white male
## 348 divorce other single_occ white female
## 349 married lowskill tenant white male
## 350 notmarried highskill depchild white male
## 351 married highskill husband white male
## 352 married lowskill husband white male
## 353 married highskill husband white male
## 354 married midskill husband white male
## 355 married other husband white male
## 356 married clerical husband white male
## 357 widowed lowskill single_occ other male
## 358 married highskill husband white male
## 359 married clerical wife white female
## 360 married midskill husband white male
## 361 married lowskill wife white female
## 362 married highskill husband white male
## 363 married midskill husband white male
## 364 divorce highskill tenant white male
## 365 married highskill tenant white male
## 366 married midskill husband white male
## 367 married highskill husband white male
## 368 notmarried highskill tenant white female
## 369 divorce highskill tenant white female
## 370 divorce highskill single_occ white female
## 371 notmarried clerical single_occ white female
## 372 notmarried lowskill depchild white male
## 373 married midskill husband white male
## 374 married midskill husband black male
## 375 notmarried midskill tenant black male
## 376 notmarried clerical depchild white female
## 377 married midskill wife white female
## 378 notmarried highskill tenant white male
## 379 divorce highskill tenant white male
## 380 married highskill husband white male
## 381 divorce midskill tenant white male
## 382 divorce midskill tenant white female
## 383 married midskill husband white male
## 384 divorce highskill tenant white female
## 385 married midskill wife white female
## 386 notmarried lowskill tenant white female
## 387 divorce midskill tenant white male
## 388 married clerical wife white female
## 389 notmarried clerical depchild white female
## 390 notmarried lowskill relative white female
## 391 married lowskill wife white female
## 392 notmarried midskill tenant white male
## 393 divorce midskill tenant white male
## 394 married highskill husband white male
## 395 notmarried lowskill tenant white female
## 396 married highskill husband white male
## 397 divorce lowskill single_occ white female
## 398 notmarried other relative white female
## 399 married highskill husband white male
## 400 married highskill husband white male
## 401 notmarried lowskill depchild white male
## 402 notmarried lowskill tenant white female
## 403 married highskill husband white male
## 404 divorce highskill tenant white female
## 405 married lowskill husband other male
## 406 married highskill husband white male
## 407 married clerical husband white male
## 408 married midskill husband white male
## 409 married other wife white female
## 410 married highskill husband white male
## 411 divorce lowskill tenant black female
## 412 notmarried lowskill single_occ black female
## 413 divorce highskill single_occ white female
## 414 married highskill husband white male
## 415 married midskill husband white male
## 416 divorce midskill tenant white male
## 417 married midskill husband white male
## 418 notmarried lowskill depchild white female
## 419 divorce midskill tenant black male
## 420 divorce midskill single_occ white female
## 421 married highskill husband white male
## 422 notmarried lowskill depchild white male
## 423 married highskill wife white female
## 424 divorce agriculture tenant white male
## 425 notmarried midskill single_occ white female
## 426 married midskill husband white male
## 427 notmarried highskill tenant white male
## 428 notmarried lowskill tenant white male
## 429 married highskill husband white male
## 430 married highskill husband white male
## 431 widowed other tenant white male
## 432 notmarried other depchild white male
## 433 married highskill tenant white female
## 434 married lowskill wife white female
## 435 notmarried midskill depchild Asian_Pac_Islander male
## 436 married highskill husband white male
## 437 notmarried agriculture tenant black male
## 438 notmarried highskill tenant white female
## 439 married clerical husband white male
## 440 married clerical wife white female
## 441 notmarried highskill tenant white male
## 442 divorce clerical tenant white female
## 443 notmarried lowskill depchild white male
## 444 married highskill husband white male
## 445 notmarried midskill relative white male
## 446 notmarried highskill tenant white male
## 447 widowed highskill single_occ black female
## 448 married midskill husband native male
## 449 married midskill husband white male
## 450 notmarried other depchild white female
## 451 notmarried midskill depchild black female
## 452 married midskill husband white male
## 453 married midskill husband white male
## 454 married highskill husband black male
## 455 married highskill wife white female
## 456 married midskill husband Asian_Pac_Islander male
## 457 married highskill wife white female
## 458 married midskill husband black male
## 459 married midskill husband white male
## 460 married other husband white male
## 461 notmarried agriculture depchild white male
## 462 married midskill husband black male
## 463 married highskill husband white male
## 464 married midskill single_occ white male
## 465 notmarried highskill tenant white female
## 466 married clerical wife white female
## 467 divorce midskill single_occ white male
## 468 married midskill husband white male
## 469 married highskill husband white male
## 470 married highskill wife white female
## 471 notmarried highskill single_occ white male
## 472 notmarried other depchild white male
## 473 notmarried midskill tenant white male
## 474 notmarried midskill tenant white male
## 475 divorce lowskill tenant white female
## 476 notmarried midskill tenant white female
## 477 notmarried lowskill tenant white male
## 478 notmarried lowskill depchild white male
## 479 notmarried lowskill tenant white male
## 480 notmarried lowskill single_occ white female
## 481 married midskill husband white male
## 482 married midskill husband white male
## 483 notmarried highskill tenant white male
## 484 married midskill single_occ white female
## 485 notmarried other relative black male
## 486 married clerical depchild black female
## 487 married other husband white male
## 488 married midskill husband white male
## 489 divorce highskill single_occ white female
## 490 married highskill husband white male
## 491 notmarried lowskill tenant white female
## 492 divorce clerical tenant white male
## 493 notmarried highskill tenant white female
## 494 divorce highskill single_occ white female
## 495 notmarried midskill depchild white male
## 496 divorce clerical single_occ white female
## 497 notmarried midskill depchild white male
## 498 notmarried lowskill depchild white male
## 499 notmarried highskill tenant white female
## 500 married other husband white male
## 501 notmarried agriculture tenant white male
## 502 married midskill husband white male
## 503 married clerical husband white male
## 504 divorce lowskill single_occ white female
## 505 notmarried highskill tenant white female
## 506 notmarried highskill tenant black male
## 507 notmarried highskill depchild white male
## 508 married highskill husband white male
## 509 divorce clerical single_occ black female
## 510 divorce lowskill single_occ white female
## 511 married lowskill single_occ white male
## 512 widowed other single_occ black female
## 513 notmarried midskill tenant white male
## 514 married highskill husband white male
## 515 divorce midskill tenant white male
## 516 widowed other single_occ white female
## 517 notmarried clerical tenant native female
## 518 notmarried other depchild white male
## 519 notmarried other single_occ white female
## 520 married highskill husband white male
## 521 married highskill husband white male
## 522 married highskill husband white male
## 523 divorce lowskill tenant black male
## 524 married highskill husband white male
## 525 divorce midskill single_occ white male
## 526 married highskill wife white female
## 527 married highskill husband white male
## 528 divorce clerical tenant white female
## 529 married midskill husband white male
## 530 married highskill husband white male
## 531 divorce midskill single_occ other female
## 532 notmarried midskill tenant white male
## 533 married lowskill husband black male
## 534 married highskill wife white female
## 535 married highskill husband white male
## 536 married highskill husband white male
## 537 widowed lowskill tenant black female
## 538 divorce midskill tenant white male
## 539 notmarried agriculture tenant white female
## 540 notmarried other single_occ black female
## 541 married midskill husband white male
## 542 notmarried highskill depchild white male
## 543 notmarried lowskill single_occ white female
## 544 notmarried midskill tenant white male
## 545 married highskill husband white male
## 546 notmarried lowskill tenant white female
## 547 married lowskill wife white female
## 548 married highskill husband white male
## 549 notmarried lowskill depchild white male
## 550 notmarried midskill single_occ white male
## 551 divorce highskill tenant white male
## 552 divorce lowskill single_occ white female
## 553 widowed clerical single_occ white female
## 554 married midskill wife black female
## 555 divorce midskill single_occ black female
## 556 notmarried midskill tenant white female
## 557 married midskill husband white male
## 558 divorce clerical single_occ white female
## 559 married highskill wife white female
## 560 married lowskill husband white male
## 561 notmarried midskill tenant white male
## 562 married highskill husband white male
## 563 married highskill husband white male
## 564 notmarried lowskill single_occ black female
## 565 married highskill husband white male
## 566 notmarried lowskill depchild native male
## 567 married highskill husband white male
## 568 divorce lowskill single_occ white female
## 569 divorce midskill tenant white male
## 570 divorce highskill single_occ white male
## 571 notmarried midskill depchild white male
## 572 married highskill husband white male
## 573 notmarried highskill depchild white male
## 574 married midskill husband white male
## 575 notmarried highskill tenant white female
## 576 married highskill wife white male
## 577 notmarried other depchild white male
## 578 divorce highskill single_occ white female
## 579 notmarried highskill tenant white female
## 580 married midskill husband white male
## 581 married other husband white male
## 582 married highskill husband white male
## 583 married midskill husband white male
## 584 married midskill husband white male
## 585 notmarried highskill tenant white male
## 586 notmarried highskill depchild white female
## 587 notmarried clerical tenant white male
## 588 notmarried lowskill depchild white male
## 589 married midskill husband white male
## 590 divorce highskill tenant white male
## 591 married other husband white male
## 592 married other wife Asian_Pac_Islander female
## 593 notmarried midskill tenant white male
## 594 married highskill husband white male
## 595 notmarried clerical depchild white female
## 596 notmarried highskill depchild white male
## 597 notmarried other single_occ native female
## 598 married highskill husband white male
## 599 notmarried highskill tenant white male
## 600 notmarried highskill tenant white female
## 601 notmarried highskill tenant white male
## 602 notmarried clerical depchild white male
## 603 divorce lowskill tenant white female
## 604 married lowskill husband white male
## 605 notmarried agriculture tenant white male
## 606 notmarried clerical single_occ black female
## 607 married midskill husband white male
## 608 notmarried midskill tenant native male
## 609 divorce highskill tenant black male
## 610 notmarried lowskill depchild white female
## 611 divorce highskill tenant white female
## 612 notmarried midskill tenant white male
## 613 married lowskill husband white male
## 614 notmarried highskill depchild white male
## 615 notmarried lowskill depchild white female
## 616 notmarried lowskill depchild white male
## 617 married midskill husband black male
## 618 married highskill husband white male
## 619 married highskill husband white male
## 620 married highskill husband white male
## 621 notmarried highskill depchild white female
## 622 widowed lowskill tenant black female
## 623 widowed lowskill single_occ black female
## 624 married midskill husband white male
## 625 married lowskill single_occ white male
## 626 notmarried agriculture depchild black male
## 627 married highskill husband white male
## 628 married highskill husband white male
## 629 married highskill husband white male
## 630 married highskill husband white male
## 631 notmarried lowskill single_occ black female
## 632 divorce lowskill single_occ black female
## 633 married midskill husband white male
## 634 married clerical wife black female
## 635 married midskill husband white male
## 636 notmarried lowskill depchild white female
## 637 notmarried lowskill tenant white male
## 638 married highskill husband white male
## 639 married midskill husband white male
## 640 married highskill husband white male
## 641 divorce midskill tenant white male
## 642 married midskill husband white male
## 643 notmarried lowskill depchild white male
## 644 married highskill husband white male
## 645 married midskill husband white male
## 646 divorce highskill tenant white male
## 647 divorce clerical single_occ white female
## 648 married midskill husband white male
## 649 married other husband white male
## 650 married highskill husband white male
## 651 notmarried lowskill depchild white male
## 652 notmarried highskill relative white male
## 653 married highskill husband Asian_Pac_Islander male
## 654 divorce highskill tenant white female
## 655 notmarried midskill depchild white female
## 656 notmarried clerical single_occ Asian_Pac_Islander female
## 657 widowed other single_occ white female
## 658 married midskill husband white male
## 659 married midskill husband white male
## 660 married midskill husband white male
## 661 married lowskill husband black male
## 662 notmarried highskill tenant white male
## 663 notmarried highskill tenant white male
## 664 notmarried highskill tenant white male
## 665 notmarried highskill tenant white female
## 666 divorce highskill single_occ white female
## 667 married midskill husband white male
## 668 married midskill husband black male
## 669 married other depchild Asian_Pac_Islander female
## 670 notmarried midskill tenant white male
## 671 divorce highskill tenant white male
## 672 notmarried other depchild white female
## 673 notmarried agriculture depchild white male
## 674 married highskill husband white male
## 675 married highskill husband white male
## 676 notmarried highskill depchild white female
## 677 notmarried lowskill depchild white male
## 678 married clerical husband white male
## 679 notmarried midskill tenant white male
## 680 widowed highskill tenant white male
## 681 notmarried highskill depchild white male
## 682 married midskill husband white male
## 683 married midskill husband white male
## 684 divorce highskill single_occ black male
## 685 notmarried clerical depchild white female
## 686 divorce highskill tenant white female
## 687 notmarried other tenant white male
## 688 married highskill wife white female
## 689 notmarried highskill tenant white male
## 690 notmarried lowskill relative white male
## 691 married agriculture husband white male
## 692 notmarried midskill depchild black female
## 693 married highskill husband white male
## 694 notmarried highskill depchild white male
## 695 notmarried highskill tenant white female
## 696 notmarried other relative white male
## 697 notmarried highskill tenant white male
## 698 married highskill husband white male
## 699 notmarried highskill depchild white female
## 700 notmarried highskill depchild white female
## 701 notmarried highskill tenant white male
## 702 widowed highskill single_occ white female
## 703 notmarried lowskill depchild white male
## 704 married midskill husband white male
## 705 divorce highskill single_occ white female
## 706 divorce highskill depchild white female
## 707 married lowskill husband black male
## 708 notmarried highskill tenant black male
## 709 married midskill husband white male
## 710 notmarried lowskill relative white male
## 711 married highskill husband white male
## 712 divorce clerical single_occ black female
## 713 divorce highskill tenant white male
## 714 married highskill husband white male
## 715 divorce clerical single_occ white female
## 716 divorce lowskill single_occ black female
## 717 married midskill husband white male
## 718 notmarried highskill depchild white female
## 719 notmarried highskill depchild white female
## 720 married highskill husband white male
## 721 notmarried lowskill tenant white male
## 722 married midskill husband white male
## 723 notmarried highskill tenant white male
## 724 married highskill husband white male
## 725 married highskill husband white male
## 726 notmarried highskill tenant white male
## 727 married highskill wife white female
## 728 notmarried lowskill tenant white female
## 729 married lowskill husband white male
## 730 married highskill husband white male
## 731 notmarried lowskill tenant white female
## 732 divorce clerical tenant Asian_Pac_Islander female
## 733 married clerical husband white male
## 734 notmarried lowskill depchild white female
## 735 married other wife black female
## 736 married midskill husband white male
## 737 notmarried highskill tenant black female
## 738 married highskill husband white male
## 739 widowed lowskill single_occ black female
## 740 married highskill husband white male
## 741 notmarried lowskill relative white female
## 742 married midskill husband white male
## 743 notmarried highskill tenant white female
## 744 notmarried highskill depchild white male
## 745 notmarried lowskill depchild white male
## 746 married highskill wife white female
## 747 married midskill husband white male
## 748 notmarried clerical depchild black female
## 749 notmarried midskill depchild black male
## 750 married highskill husband white male
## 751 married highskill husband white male
## 752 notmarried highskill single_occ white male
## 753 married midskill husband white male
## 754 notmarried midskill single_occ white male
## 755 notmarried lowskill tenant white male
## 756 notmarried midskill depchild white male
## 757 married midskill husband white male
## 758 notmarried highskill tenant white female
## 759 married clerical wife white female
## 760 notmarried agriculture tenant black male
## 761 notmarried lowskill tenant white female
## 762 married clerical wife white female
## 763 divorce highskill single_occ white male
## 764 married highskill husband white male
## 765 notmarried highskill tenant white male
## 766 divorce lowskill single_occ white female
## 767 married lowskill relative white male
## 768 married highskill wife white female
## 769 divorce highskill tenant white female
## 770 notmarried midskill tenant white male
## 771 notmarried agriculture tenant white female
## 772 divorce agriculture tenant white male
## 773 divorce midskill single_occ white male
## 774 married highskill wife white female
## 775 notmarried highskill tenant white male
## 776 divorce highskill tenant white male
## 777 divorce clerical single_occ white female
## 778 married highskill husband white male
## 779 married highskill husband white male
## 780 notmarried highskill tenant white male
## 781 married midskill husband white male
## 782 notmarried midskill tenant white female
## 783 married highskill husband white male
## 784 married highskill husband white male
## 785 notmarried highskill tenant other female
## 786 divorce clerical tenant black female
## 787 married agriculture husband white male
## 788 notmarried midskill depchild white male
## 789 married other husband white male
## 790 notmarried other tenant white female
## 791 married highskill husband white male
## 792 married highskill husband white male
## 793 notmarried other depchild white male
## 794 notmarried highskill tenant white female
## 795 married midskill husband white male
## 796 notmarried lowskill relative black male
## 797 married midskill husband white male
## 798 notmarried midskill tenant black male
## 799 notmarried highskill tenant white male
## 800 married highskill husband white male
## 801 divorce midskill tenant white male
## 802 notmarried lowskill depchild black male
## 803 notmarried agriculture single_occ white male
## 804 divorce clerical single_occ white female
## 805 notmarried highskill depchild white female
## 806 married midskill husband white male
## 807 married other relative white male
## 808 married highskill husband white male
## 809 married highskill husband white male
## 810 notmarried midskill depchild white male
## 811 divorce lowskill depchild white female
## 812 notmarried other depchild black male
## 813 divorce highskill tenant white male
## 814 notmarried clerical depchild white male
## 815 notmarried agriculture depchild white male
## 816 married lowskill wife white female
## 817 notmarried highskill tenant white female
## 818 married midskill husband white male
## 819 married midskill husband white male
## 820 married midskill husband white male
## 821 notmarried clerical single_occ white male
## 822 notmarried highskill tenant white female
## 823 notmarried highskill depchild white male
## 824 widowed clerical tenant white female
## 825 married highskill husband white male
## 826 widowed midskill single_occ white male
## 827 widowed lowskill tenant white female
## 828 divorce midskill single_occ white female
## 829 notmarried clerical tenant white male
## 830 notmarried highskill depchild white male
## 831 married other husband white male
## 832 married clerical wife white female
## 833 notmarried lowskill depchild white male
## 834 married highskill husband white male
## 835 widowed other tenant white female
## 836 married midskill husband white male
## 837 divorce clerical tenant white male
## 838 divorce highskill tenant white female
## 839 notmarried highskill tenant white male
## 840 widowed agriculture tenant white male
## 841 notmarried highskill depchild white male
## 842 married midskill husband white male
## 843 married highskill husband white male
## 844 widowed highskill tenant white female
## 845 married midskill husband white male
## 846 divorce highskill tenant white male
## 847 divorce lowskill tenant white female
## 848 married highskill husband white male
## 849 married midskill husband white male
## 850 notmarried midskill depchild white male
## 851 widowed highskill tenant white female
## 852 divorce clerical tenant white female
## 853 married highskill husband white male
## 854 notmarried highskill tenant white female
## 855 divorce highskill depchild white male
## 856 notmarried midskill depchild white male
## 857 notmarried clerical depchild white female
## 858 married lowskill husband white male
## 859 notmarried highskill depchild white female
## 860 notmarried highskill tenant white female
## 861 notmarried clerical depchild white female
## 862 married agriculture husband white male
## 863 married highskill husband white male
## 864 married highskill husband white male
## 865 married midskill husband white male
## 866 notmarried highskill tenant white female
## 867 notmarried lowskill tenant white male
## 868 notmarried highskill depchild white male
## 869 married agriculture husband white male
## 870 divorce highskill depchild white male
## 871 married highskill husband white male
## 872 notmarried midskill depchild white male
## 873 married highskill husband white male
## 874 married highskill husband Asian_Pac_Islander male
## 875 divorce lowskill single_occ black male
## 876 married highskill husband white male
## 877 notmarried lowskill single_occ black female
## 878 divorce clerical single_occ white female
## 879 married midskill husband white male
## 880 notmarried clerical tenant white female
## 881 divorce midskill tenant white female
## 882 married clerical relative white male
## 883 married midskill husband white male
## 884 married highskill husband white male
## 885 married midskill wife white female
## 886 married other husband white male
## 887 notmarried highskill depchild white male
## 888 married midskill husband white male
## 889 married highskill husband black male
## 890 divorce highskill tenant white female
## 891 divorce other single_occ black female
## 892 notmarried highskill tenant white male
## 893 married clerical wife Asian_Pac_Islander female
## 894 married highskill husband white male
## 895 married agriculture husband white male
## 896 married highskill husband white male
## 897 divorce highskill depchild white male
## 898 notmarried highskill depchild white female
## 899 married highskill husband white male
## 900 married highskill husband white male
## 901 married lowskill husband white male
## 902 married midskill husband white male
## 903 notmarried lowskill depchild white female
## 904 married other depchild native male
## 905 notmarried highskill tenant white male
## 906 divorce midskill tenant white female
## 907 divorce midskill tenant white male
## 908 notmarried highskill depchild black male
## 909 divorce lowskill depchild white male
## 910 married highskill husband white male
## 911 notmarried highskill tenant white male
## 912 divorce midskill tenant white male
## 913 married agriculture husband white male
## 914 notmarried midskill tenant white male
## 915 notmarried highskill depchild black male
## 916 married highskill husband white male
## 917 married highskill wife Asian_Pac_Islander female
## 918 married highskill husband Asian_Pac_Islander male
## 919 married highskill husband white male
## 920 notmarried lowskill depchild white male
## 921 notmarried highskill tenant white male
## 922 notmarried midskill single_occ white male
## 923 married midskill wife white female
## 924 married clerical wife black female
## 925 married other husband white male
## 926 married midskill husband white male
## 927 married midskill husband white male
## 928 married highskill husband white male
## 929 notmarried highskill tenant white female
## 930 married lowskill tenant white female
## 931 divorce midskill tenant white male
## 932 notmarried other depchild white female
## 933 married lowskill husband white male
## 934 married clerical wife white female
## 935 married midskill husband white male
## 936 married midskill husband white male
## 937 notmarried highskill tenant white female
## 938 married highskill husband white male
## 939 married midskill husband white male
## 940 notmarried highskill tenant white male
## 941 divorce lowskill single_occ native female
## 942 married midskill husband black male
## 943 married highskill husband white male
## 944 notmarried lowskill tenant white female
## 945 married midskill husband white male
## 946 divorce highskill single_occ black female
## 947 divorce clerical single_occ white female
## 948 married highskill wife white female
## 949 divorce midskill single_occ white male
## 950 divorce agriculture single_occ white male
## 951 married highskill wife white female
## 952 married highskill husband white male
## 953 widowed lowskill single_occ black female
## 954 notmarried lowskill depchild white female
## 955 married highskill husband white male
## 956 married midskill husband white male
## 957 married highskill husband white male
## 958 divorce midskill tenant white male
## 959 married highskill husband white male
## 960 married highskill husband white male
## 961 married highskill husband white male
## 962 divorce midskill tenant white female
## 963 married midskill husband white male
## 964 divorce highskill single_occ white female
## 965 married midskill husband white male
## 966 notmarried lowskill depchild white female
## 967 married highskill husband white male
## 968 married midskill husband white male
## 969 married highskill husband Asian_Pac_Islander male
## 970 widowed other tenant white female
## 971 married midskill husband white male
## 972 notmarried highskill tenant white female
## 973 widowed highskill tenant white male
## 974 married midskill husband white male
## 975 notmarried midskill single_occ white male
## 976 notmarried highskill tenant white female
## 977 notmarried highskill tenant white female
## 978 married highskill husband white male
## 979 widowed lowskill tenant black female
## 980 divorce lowskill depchild white male
## 981 notmarried clerical tenant white female
## 982 notmarried clerical tenant white female
## 983 notmarried other single_occ black female
## 984 notmarried agriculture single_occ white male
## 985 widowed highskill tenant white male
## 986 divorce lowskill tenant white female
## 987 notmarried midskill depchild black female
## 988 divorce clerical single_occ white female
## 989 divorce midskill single_occ white male
## 990 widowed highskill tenant white female
## 991 notmarried highskill tenant white male
## 992 married midskill husband white male
## 993 married midskill husband white male
## 994 married clerical husband white male
## 995 notmarried highskill tenant white male
## 996 married highskill husband white male
## 997 divorce highskill tenant white male
## 998 divorce highskill single_occ white male
## 999 married midskill husband white male
## 1000 married highskill husband white male
## 1001 notmarried lowskill depchild white male
## 1002 married highskill husband white male
## 1003 married highskill wife white female
## 1004 notmarried highskill depchild white female
## 1005 notmarried lowskill depchild white male
## 1006 married clerical husband white male
## 1007 divorce midskill tenant black male
## 1008 married highskill husband white male
## 1009 married midskill husband white male
## 1010 married highskill husband white male
## 1011 divorce midskill tenant white female
## 1012 notmarried midskill depchild white male
## 1013 married midskill husband white male
## 1014 married highskill husband white male
## 1015 married highskill husband white male
## 1016 married lowskill husband white male
## 1017 married highskill wife white female
## 1018 widowed lowskill single_occ white female
## 1019 divorce midskill tenant white male
## 1020 notmarried other depchild white male
## 1021 notmarried midskill tenant white male
## 1022 married highskill husband white male
## 1023 divorce highskill tenant white female
## 1024 married lowskill husband white male
## 1025 notmarried midskill single_occ black female
## 1026 married lowskill husband white male
## 1027 notmarried highskill tenant black male
## 1028 married highskill husband white male
## 1029 married clerical wife white female
## 1030 married highskill tenant Asian_Pac_Islander male
## 1031 notmarried clerical tenant white female
## 1032 notmarried lowskill depchild white male
## 1033 notmarried highskill tenant white male
## 1034 notmarried lowskill tenant black female
## 1035 widowed other tenant white male
## 1036 notmarried other single_occ white male
## 1037 married highskill husband white male
## 1038 notmarried lowskill tenant white male
## 1039 divorce lowskill single_occ black female
## 1040 married other wife white female
## 1041 notmarried lowskill tenant white female
## 1042 notmarried midskill depchild black female
## 1043 divorce clerical tenant white female
## 1044 married highskill husband white male
## 1045 notmarried highskill tenant white female
## 1046 divorce highskill single_occ white male
## 1047 notmarried other tenant white female
## 1048 married lowskill husband white male
## 1049 notmarried highskill tenant white female
## 1050 married highskill husband white male
## 1051 married midskill husband white male
## 1052 married highskill husband white male
## 1053 married clerical husband white male
## 1054 married highskill husband white male
## 1055 divorce midskill tenant white male
## 1056 married highskill husband white male
## 1057 married midskill husband white male
## 1058 divorce midskill tenant white female
## 1059 married highskill husband white male
## 1060 married midskill husband white male
## 1061 married highskill husband white male
## 1062 married midskill husband white male
## 1063 married lowskill husband white male
## 1064 divorce lowskill single_occ white female
## 1065 married highskill husband white male
## 1066 notmarried lowskill depchild white male
## 1067 married highskill husband white male
## 1068 married midskill husband white male
## 1069 married highskill husband white male
## 1070 divorce highskill tenant white female
## 1071 notmarried highskill depchild white female
## 1072 married midskill husband white male
## 1073 married midskill husband white male
## 1074 married highskill wife white female
## 1075 notmarried clerical depchild white male
## 1076 notmarried midskill depchild white male
## 1077 notmarried highskill tenant black female
## 1078 notmarried highskill depchild Asian_Pac_Islander male
## 1079 married midskill husband white male
## 1080 married highskill wife white female
## 1081 divorce highskill single_occ white female
## 1082 divorce highskill tenant white female
## 1083 married agriculture husband white male
## 1084 married highskill husband white male
## 1085 married clerical husband white male
## 1086 married midskill husband white male
## 1087 married highskill husband white male
## 1088 notmarried highskill tenant white male
## 1089 married highskill husband white male
## 1090 divorce midskill depchild white male
## 1091 married highskill husband white male
## 1092 notmarried highskill tenant white male
## 1093 married highskill tenant Asian_Pac_Islander male
## 1094 divorce midskill tenant white male
## 1095 notmarried clerical depchild white male
## 1096 notmarried highskill depchild Asian_Pac_Islander male
## 1097 married midskill husband white male
## 1098 notmarried other depchild white female
## 1099 married highskill wife white female
## 1100 divorce highskill single_occ white female
## 1101 married other husband white male
## 1102 married midskill husband white male
## 1103 married highskill husband white male
## 1104 married highskill husband black male
## 1105 married highskill wife white female
## 1106 divorce clerical single_occ white female
## 1107 notmarried highskill tenant white male
## 1108 notmarried lowskill depchild white male
## 1109 married midskill husband white male
## 1110 married midskill husband white male
## 1111 married highskill husband white male
## 1112 married highskill wife white female
## 1113 notmarried clerical tenant white male
## 1114 married highskill wife white female
## 1115 divorce lowskill depchild white female
## 1116 married midskill husband white male
## 1117 married midskill husband white male
## 1118 married midskill husband white male
## 1119 married highskill wife white female
## 1120 married highskill husband Asian_Pac_Islander male
## 1121 married highskill husband white male
## 1122 divorce highskill tenant white female
## 1123 married highskill husband white male
## 1124 married highskill husband white male
## 1125 divorce lowskill single_occ black female
## 1126 notmarried clerical depchild white female
## 1127 married midskill husband white male
## 1128 widowed lowskill tenant black male
## 1129 divorce lowskill single_occ white male
## 1130 married highskill husband white male
## 1131 notmarried midskill tenant black female
## 1132 divorce other tenant white female
## 1133 notmarried lowskill single_occ white female
## 1134 notmarried clerical depchild white female
## 1135 divorce other single_occ white male
## 1136 married highskill husband white male
## 1137 married highskill husband white male
## 1138 married clerical husband black male
## 1139 married midskill husband white male
## 1140 married midskill husband white male
## 1141 notmarried lowskill depchild white female
## 1142 notmarried highskill tenant white male
## 1143 widowed highskill single_occ white female
## 1144 notmarried lowskill tenant white male
## 1145 married highskill husband white male
## 1146 married highskill husband white male
## 1147 notmarried highskill tenant white female
## 1148 married midskill husband white male
## 1149 married highskill husband white male
## 1150 married highskill husband white male
## 1151 notmarried lowskill depchild white male
## 1152 divorce clerical single_occ white female
## 1153 notmarried other tenant white male
## 1154 married midskill husband white male
## 1155 married highskill husband white male
## 1156 married agriculture husband white male
## 1157 married highskill husband white male
## 1158 married highskill wife white female
## 1159 notmarried midskill single_occ Asian_Pac_Islander male
## 1160 notmarried lowskill depchild white male
## 1161 married midskill husband white male
## 1162 widowed midskill single_occ white male
## 1163 married highskill husband white male
## 1164 married highskill husband white male
## 1165 married highskill wife white female
## 1166 divorce clerical tenant black female
## 1167 married clerical husband white male
## 1168 notmarried other depchild white female
## 1169 married highskill husband white male
## 1170 divorce midskill tenant white male
## 1171 divorce clerical tenant white female
## 1172 divorce lowskill tenant black female
## 1173 married agriculture tenant white male
## 1174 notmarried lowskill tenant white male
## 1175 married lowskill husband white male
## 1176 married other husband white male
## 1177 notmarried clerical depchild white female
## 1178 married highskill husband white male
## 1179 notmarried clerical single_occ white female
## 1180 notmarried lowskill tenant Asian_Pac_Islander male
## 1181 married other husband white male
## 1182 divorce highskill tenant white female
## 1183 married highskill husband white male
## 1184 married clerical husband white male
## 1185 married midskill husband white male
## 1186 married other husband white male
## 1187 notmarried highskill depchild black female
## 1188 married midskill husband white male
## 1189 notmarried clerical tenant white female
## 1190 notmarried highskill depchild white male
## 1191 divorce lowskill tenant white male
## 1192 married midskill husband white male
## 1193 married midskill husband white male
## 1194 married highskill husband white male
## 1195 notmarried lowskill depchild white female
## 1196 divorce highskill tenant black female
## 1197 married highskill husband white male
## 1198 married highskill husband white male
## 1199 notmarried midskill depchild white female
## 1200 married midskill husband white male
## 1201 married clerical husband black male
## 1202 married highskill husband white male
## 1203 divorce midskill tenant white male
## 1204 notmarried lowskill tenant white male
## 1205 married midskill husband black male
## 1206 married highskill husband white male
## 1207 married highskill husband white male
## 1208 married highskill husband white male
## 1209 notmarried other depchild white male
## 1210 married midskill husband white male
## 1211 married highskill husband white male
## 1212 divorce clerical depchild white male
## 1213 divorce midskill single_occ white female
## 1214 married highskill husband white male
## 1215 notmarried lowskill depchild white male
## 1216 widowed other tenant white female
## 1217 married midskill husband native male
## 1218 divorce other tenant Asian_Pac_Islander female
## 1219 divorce highskill tenant white male
## 1220 married highskill husband white male
## 1221 married midskill husband white male
## 1222 married midskill husband white male
## 1223 married midskill husband white male
## 1224 widowed clerical depchild white female
## 1225 married midskill husband white male
## 1226 notmarried clerical tenant white female
## 1227 married highskill husband white male
## 1228 married agriculture husband white male
## 1229 divorce clerical single_occ white female
## 1230 married highskill husband white male
## 1231 married highskill husband white male
## 1232 divorce clerical single_occ white female
## 1233 notmarried clerical tenant white female
## 1234 married midskill husband white male
## 1235 divorce lowskill tenant black female
## 1236 notmarried highskill tenant white female
## 1237 notmarried highskill tenant white female
## 1238 married highskill relative white female
## 1239 notmarried lowskill depchild white female
## 1240 notmarried clerical depchild white female
## 1241 notmarried highskill tenant white male
## 1242 divorce clerical tenant white female
## 1243 widowed highskill tenant white female
## 1244 married highskill husband white male
## 1245 notmarried lowskill tenant white male
## 1246 widowed lowskill tenant white female
## 1247 married highskill husband white male
## 1248 divorce clerical tenant white male
## 1249 married clerical wife white female
## 1250 notmarried lowskill depchild white female
## 1251 married highskill husband white male
## 1252 married highskill husband white male
## 1253 married clerical husband white male
## 1254 divorce clerical tenant white female
## 1255 notmarried midskill tenant white male
## 1256 married midskill husband Asian_Pac_Islander male
## 1257 notmarried clerical tenant white female
## 1258 married highskill husband white male
## 1259 married highskill husband white male
## 1260 divorce clerical tenant white male
## 1261 married midskill husband white male
## 1262 married midskill husband white male
## 1263 widowed other tenant white female
## 1264 widowed lowskill tenant white female
## 1265 notmarried midskill depchild white male
## 1266 notmarried highskill tenant white female
## 1267 married highskill husband white male
## 1268 married midskill husband white male
## 1269 married clerical husband white male
## 1270 divorce highskill tenant white male
## 1271 notmarried highskill single_occ black female
## 1272 married lowskill husband white male
## 1273 notmarried lowskill tenant white female
## 1274 notmarried highskill tenant black female
## 1275 notmarried lowskill single_occ white female
## 1276 married clerical husband white male
## 1277 married highskill husband white male
## 1278 married highskill husband white male
## 1279 married midskill husband white male
## 1280 married highskill husband white male
## 1281 notmarried highskill tenant white male
## 1282 divorce highskill single_occ Asian_Pac_Islander female
## 1283 married other husband white male
## 1284 notmarried agriculture depchild black male
## 1285 married clerical wife white female
## 1286 married midskill husband white male
## 1287 married highskill husband white male
## 1288 married lowskill husband white male
## 1289 notmarried highskill tenant white male
## 1290 married midskill husband white male
## 1291 married other husband white male
## 1292 widowed lowskill single_occ white female
## 1293 married midskill husband white male
## 1294 married highskill husband black male
## 1295 married lowskill husband white male
## 1296 married midskill husband white male
## 1297 notmarried lowskill tenant white male
## 1298 married highskill husband white male
## 1299 notmarried lowskill depchild black male
## 1300 married midskill husband white male
## 1301 notmarried lowskill tenant black male
## 1302 notmarried lowskill single_occ black female
## 1303 married midskill wife white female
## 1304 married highskill husband white male
## 1305 married highskill husband white male
## 1306 married midskill husband white male
## 1307 notmarried midskill tenant white male
## 1308 notmarried clerical depchild white female
## 1309 married highskill husband white male
## 1310 married midskill wife white female
## 1311 married highskill husband white male
## 1312 notmarried highskill tenant white female
## 1313 notmarried other tenant white female
## 1314 divorce clerical single_occ white female
## 1315 married lowskill husband white male
## 1316 notmarried midskill depchild white female
## 1317 married highskill husband white male
## 1318 notmarried other tenant white male
## 1319 married highskill husband white male
## 1320 married midskill husband white male
## 1321 widowed clerical single_occ white female
## 1322 notmarried clerical depchild white male
## 1323 notmarried highskill tenant white male
## 1324 married midskill husband white male
## 1325 married clerical husband white male
## 1326 notmarried other depchild white male
## 1327 married lowskill husband white male
## 1328 widowed lowskill single_occ Asian_Pac_Islander female
## 1329 notmarried highskill depchild black female
## 1330 notmarried lowskill single_occ black female
## 1331 notmarried midskill relative white male
## 1332 notmarried midskill tenant white female
## 1333 notmarried midskill tenant black male
## 1334 married highskill husband white male
## 1335 married highskill husband white male
## 1336 notmarried highskill tenant white female
## 1337 notmarried highskill tenant white male
## 1338 married highskill husband white male
## 1339 divorce highskill depchild white female
## 1340 married highskill husband white male
## 1341 notmarried highskill single_occ white male
## 1342 married highskill tenant white female
## 1343 divorce clerical tenant white male
## 1344 notmarried clerical depchild white male
## 1345 notmarried highskill tenant other male
## 1346 notmarried clerical depchild white female
## 1347 married highskill husband white male
## 1348 notmarried other depchild white female
## 1349 married highskill husband Asian_Pac_Islander male
## 1350 married other husband white male
## 1351 notmarried highskill tenant white male
## 1352 married midskill husband white male
## 1353 divorce highskill depchild white female
## 1354 married midskill husband white male
## 1355 divorce midskill tenant black male
## 1356 married agriculture husband white male
## 1357 notmarried midskill relative black male
## 1358 notmarried highskill tenant white male
## 1359 notmarried highskill tenant white male
## 1360 notmarried midskill depchild white male
## 1361 notmarried midskill tenant white male
## 1362 married midskill husband white male
## 1363 notmarried lowskill tenant white female
## 1364 divorce highskill single_occ white female
## 1365 notmarried highskill tenant white female
## 1366 divorce highskill single_occ white female
## 1367 married midskill wife black female
## 1368 widowed clerical tenant black female
## 1369 married highskill husband Asian_Pac_Islander male
## 1370 notmarried lowskill depchild white male
## 1371 notmarried lowskill depchild black male
## 1372 married other husband white male
## 1373 notmarried lowskill tenant white female
## 1374 married highskill husband white male
## 1375 notmarried clerical tenant white female
## 1376 divorce highskill single_occ black female
## 1377 married midskill husband white male
## 1378 married agriculture husband white male
## 1379 married highskill husband white male
## 1380 divorce highskill single_occ white female
## 1381 divorce clerical depchild white male
## 1382 notmarried highskill tenant white male
## 1383 notmarried highskill tenant white male
## 1384 notmarried lowskill depchild white male
## 1385 married highskill husband white male
## 1386 notmarried midskill depchild white male
## 1387 notmarried highskill tenant black male
## 1388 divorce highskill relative white male
## 1389 notmarried other depchild white male
## 1390 notmarried lowskill depchild white male
## 1391 notmarried highskill tenant white female
## 1392 married midskill husband black male
## 1393 divorce highskill single_occ white female
## 1394 notmarried clerical single_occ black female
## 1395 notmarried midskill tenant black male
## 1396 notmarried midskill single_occ white male
## 1397 married midskill husband black male
## 1398 married highskill husband white male
## 1399 married lowskill husband white male
## 1400 married midskill husband white male
## 1401 notmarried clerical tenant white female
## 1402 married highskill husband white male
## 1403 divorce clerical tenant white female
## 1404 married midskill husband white male
## 1405 divorce other single_occ black female
## 1406 married lowskill husband white male
## 1407 divorce highskill depchild white male
## 1408 married midskill wife white female
## 1409 divorce midskill tenant white male
## 1410 married midskill husband white male
## 1411 widowed lowskill single_occ white female
## 1412 married lowskill husband Asian_Pac_Islander male
## 1413 married highskill husband white male
## 1414 married highskill husband white male
## 1415 married highskill husband white male
## 1416 married clerical husband Asian_Pac_Islander male
## 1417 notmarried lowskill tenant white male
## 1418 married highskill husband black male
## 1419 married highskill wife white female
## 1420 notmarried clerical tenant white female
## 1421 notmarried other depchild white male
## 1422 married lowskill husband black male
## 1423 notmarried clerical depchild white female
## 1424 divorce lowskill tenant white male
## 1425 married clerical husband black male
## 1426 divorce midskill single_occ native male
## 1427 married agriculture husband white male
## 1428 married lowskill wife black female
## 1429 notmarried midskill tenant white male
## 1430 married midskill husband white male
## 1431 married midskill wife white female
## 1432 divorce highskill tenant white female
## 1433 divorce highskill tenant white male
## 1434 notmarried other depchild white female
## 1435 notmarried highskill tenant black male
## 1436 married midskill wife white female
## 1437 notmarried lowskill tenant white male
## 1438 married clerical wife white female
## 1439 divorce highskill single_occ white female
## 1440 married highskill husband white male
## 1441 married midskill husband white male
## 1442 married other husband white male
## 1443 married highskill husband white male
## 1444 divorce midskill tenant white male
## 1445 married lowskill husband white male
## 1446 married midskill husband white male
## 1447 married highskill husband white male
## 1448 married highskill husband white male
## 1449 married highskill husband white male
## 1450 married highskill husband white male
## 1451 divorce midskill tenant white male
## 1452 widowed midskill single_occ black male
## 1453 notmarried other depchild white male
## 1454 married highskill husband white male
## 1455 married midskill husband black male
## 1456 widowed clerical single_occ black female
## 1457 divorce midskill tenant white male
## 1458 notmarried midskill tenant white male
## 1459 widowed other tenant black female
## 1460 married highskill husband white male
## 1461 married highskill husband white male
## 1462 notmarried midskill tenant black male
## 1463 notmarried midskill tenant white male
## 1464 married midskill husband white male
## 1465 divorce midskill tenant native male
## 1466 married clerical husband black male
## 1467 married midskill husband white male
## 1468 divorce highskill tenant white female
## 1469 notmarried highskill tenant white male
## 1470 married highskill husband white male
## 1471 married midskill husband white male
## 1472 notmarried highskill depchild Asian_Pac_Islander male
## 1473 notmarried highskill tenant white female
## 1474 married highskill husband white male
## 1475 notmarried lowskill depchild white female
## 1476 married clerical husband white male
## 1477 divorce lowskill single_occ white female
## 1478 notmarried clerical depchild white female
## 1479 notmarried clerical depchild Asian_Pac_Islander female
## 1480 notmarried lowskill tenant white male
## 1481 married midskill tenant white male
## 1482 married midskill husband white male
## 1483 married highskill husband white male
## 1484 notmarried midskill tenant white male
## 1485 married highskill husband black male
## 1486 married agriculture husband white male
## 1487 notmarried clerical single_occ white male
## 1488 notmarried lowskill depchild white female
## 1489 divorce clerical single_occ white female
## 1490 divorce highskill single_occ white male
## 1491 married highskill husband white male
## 1492 divorce highskill tenant white female
## 1493 married clerical husband white male
## 1494 married clerical husband white male
## 1495 notmarried lowskill relative native male
## 1496 married midskill husband white male
## 1497 divorce highskill tenant white male
## 1498 divorce highskill tenant white female
## 1499 married highskill husband white male
## 1500 notmarried clerical tenant white male
## 1501 married highskill husband white male
## 1502 divorce midskill tenant white male
## 1503 notmarried lowskill tenant white male
## 1504 married highskill husband white male
## 1505 married other husband white male
## 1506 married midskill husband white male
## 1507 married highskill husband white male
## 1508 married highskill husband white male
## 1509 notmarried clerical tenant black female
## 1510 married clerical husband black male
## 1511 married highskill single_occ black male
## 1512 married highskill husband white male
## 1513 married highskill husband white male
## 1514 married highskill husband white male
## 1515 married highskill husband white male
## 1516 divorce lowskill tenant Asian_Pac_Islander male
## 1517 married clerical husband white male
## 1518 married clerical wife white female
## 1519 notmarried highskill depchild white male
## 1520 notmarried lowskill depchild black male
## 1521 married highskill husband white male
## 1522 divorce lowskill tenant white female
## 1523 divorce highskill single_occ white female
## 1524 notmarried agriculture depchild white female
## 1525 notmarried highskill tenant white male
## 1526 notmarried lowskill tenant black male
## 1527 divorce lowskill single_occ white male
## 1528 married midskill husband white male
## 1529 married highskill husband white male
## 1530 divorce highskill single_occ white female
## 1531 married midskill husband black male
## 1532 married midskill husband white male
## 1533 divorce highskill single_occ white female
## 1534 married midskill husband black male
## 1535 divorce lowskill tenant white female
## 1536 notmarried highskill tenant white female
## 1537 married highskill husband white male
## 1538 married midskill husband white male
## 1539 married midskill wife white female
## 1540 divorce lowskill tenant black male
## 1541 divorce clerical depchild white female
## 1542 married highskill husband white male
## 1543 divorce highskill tenant white male
## 1544 married midskill husband white male
## 1545 divorce other tenant white male
## 1546 married midskill husband white male
## 1547 notmarried highskill depchild white male
## 1548 married clerical husband white male
## 1549 married midskill husband white male
## 1550 notmarried midskill single_occ white female
## 1551 notmarried clerical depchild white female
## 1552 notmarried lowskill depchild white male
## 1553 divorce midskill tenant white female
## 1554 notmarried clerical tenant white female
## 1555 married highskill husband white male
## 1556 divorce midskill single_occ black male
## 1557 notmarried clerical tenant white male
## 1558 notmarried highskill tenant white male
## 1559 notmarried midskill tenant white male
## 1560 notmarried lowskill relative black female
## 1561 notmarried lowskill depchild white male
## 1562 married midskill husband white male
## 1563 widowed other tenant white female
## 1564 married highskill husband white male
## 1565 divorce lowskill relative black female
## 1566 notmarried lowskill tenant black female
## 1567 married agriculture husband white male
## 1568 notmarried lowskill tenant black male
## 1569 married midskill husband white male
## 1570 notmarried other depchild white male
## 1571 notmarried other depchild black female
## 1572 married midskill husband white male
## 1573 notmarried lowskill depchild white male
## 1574 notmarried lowskill depchild white male
## 1575 divorce other depchild white male
## 1576 married clerical husband white male
## 1577 notmarried agriculture tenant white male
## 1578 notmarried highskill tenant white male
## 1579 notmarried highskill tenant white male
## 1580 widowed other tenant white female
## 1581 married highskill husband white male
## 1582 notmarried highskill depchild Asian_Pac_Islander male
## 1583 married highskill husband white male
## 1584 divorce clerical tenant white male
## 1585 married agriculture husband white male
## 1586 married midskill husband white male
## 1587 divorce highskill single_occ white male
## 1588 divorce midskill depchild white male
## 1589 notmarried highskill depchild white female
## 1590 notmarried clerical tenant white female
## 1591 married highskill husband white male
## 1592 married highskill husband white male
## 1593 notmarried other depchild white male
## 1594 married highskill husband white male
## 1595 married lowskill husband white male
## 1596 notmarried highskill tenant white male
## 1597 married clerical wife white female
## 1598 notmarried highskill tenant black female
## 1599 notmarried midskill depchild white male
## 1600 notmarried highskill tenant white male
## 1601 married midskill husband white male
## 1602 divorce highskill tenant white female
## 1603 notmarried highskill depchild white female
## 1604 married midskill husband black male
## 1605 married highskill husband white male
## 1606 married clerical husband white male
## 1607 notmarried other single_occ black female
## 1608 divorce midskill depchild white male
## 1609 married midskill husband white male
## 1610 divorce lowskill single_occ Asian_Pac_Islander male
## 1611 divorce highskill tenant white female
## 1612 married highskill wife white female
## 1613 married highskill husband white male
## 1614 married midskill husband white male
## 1615 notmarried clerical depchild white male
## 1616 married highskill husband white male
## 1617 married highskill husband white male
## 1618 married highskill wife white female
## 1619 notmarried midskill relative white male
## 1620 married midskill husband white male
## 1621 married highskill husband white male
## 1622 married highskill husband white male
## 1623 notmarried lowskill depchild Asian_Pac_Islander female
## 1624 married highskill husband white male
## 1625 notmarried lowskill tenant other female
## 1626 married highskill husband white male
## 1627 married midskill husband white male
## 1628 married highskill wife white female
## 1629 married midskill wife white female
## 1630 married other wife black female
## 1631 married lowskill husband white male
## 1632 divorce lowskill tenant white female
## 1633 married clerical husband white male
## 1634 notmarried agriculture tenant white male
## 1635 married midskill husband white male
## 1636 married highskill husband white male
## 1637 divorce lowskill tenant white female
## 1638 notmarried highskill tenant white female
## 1639 married highskill husband white male
## 1640 married midskill husband white male
## 1641 divorce lowskill relative black female
## 1642 married highskill husband white male
## 1643 married highskill husband white male
## 1644 married highskill husband white male
## 1645 married highskill wife white female
## 1646 married clerical wife white female
## 1647 married midskill husband black male
## 1648 married highskill husband white male
## 1649 married highskill husband white male
## 1650 divorce clerical tenant black female
## 1651 notmarried lowskill depchild white male
## 1652 married midskill husband white male
## 1653 notmarried highskill depchild white male
## 1654 married highskill husband white male
## 1655 married midskill husband black male
## 1656 married highskill husband white male
## 1657 divorce other single_occ white female
## 1658 married midskill husband white male
## 1659 notmarried highskill depchild white male
## 1660 married midskill husband white male
## 1661 married midskill husband white male
## 1662 married highskill husband white male
## 1663 notmarried highskill tenant white male
## 1664 married highskill husband white male
## 1665 married lowskill husband black male
## 1666 divorce other single_occ white female
## 1667 married highskill husband white male
## 1668 notmarried highskill tenant white male
## 1669 married clerical husband white male
## 1670 married highskill husband white male
## 1671 married highskill husband white male
## 1672 notmarried highskill single_occ white male
## 1673 married midskill husband white male
## 1674 notmarried highskill depchild white male
## 1675 married clerical wife white female
## 1676 divorce highskill single_occ white male
## 1677 married other husband white male
## 1678 notmarried midskill tenant white male
## 1679 married midskill husband white male
## 1680 married midskill husband white male
## 1681 divorce lowskill single_occ white female
## 1682 married midskill husband white male
## 1683 married highskill husband white male
## 1684 married midskill wife white female
## 1685 notmarried midskill depchild white male
## 1686 married highskill husband white male
## 1687 notmarried lowskill tenant black female
## 1688 married highskill husband white male
## 1689 divorce lowskill tenant white female
## 1690 married highskill husband white male
## 1691 notmarried lowskill tenant white female
## 1692 notmarried clerical depchild white female
## 1693 notmarried highskill depchild white male
## 1694 married highskill wife white female
## 1695 married highskill husband white male
## 1696 married midskill husband black male
## 1697 married highskill wife white female
## 1698 married lowskill husband white male
## 1699 divorce midskill tenant white male
## 1700 married highskill husband white male
## 1701 divorce clerical single_occ black female
## 1702 notmarried lowskill depchild white female
## 1703 married lowskill husband white male
## 1704 divorce midskill tenant white female
## 1705 divorce other tenant white female
## 1706 notmarried midskill tenant white male
## 1707 married midskill husband white male
## 1708 widowed other tenant white female
## 1709 notmarried midskill tenant Asian_Pac_Islander male
## 1710 married highskill husband white male
## 1711 widowed highskill relative white female
## 1712 married midskill husband white male
## 1713 married midskill husband white male
## 1714 married highskill husband white male
## 1715 married midskill husband black male
## 1716 divorce clerical single_occ native female
## 1717 divorce clerical tenant white female
## 1718 married highskill husband Asian_Pac_Islander male
## 1719 married highskill husband white male
## 1720 married midskill husband white male
## 1721 divorce clerical tenant white female
## 1722 married highskill husband white male
## 1723 divorce highskill tenant white male
## 1724 married highskill husband white male
## 1725 notmarried lowskill tenant white female
## 1726 divorce midskill tenant white male
## 1727 married midskill husband white male
## 1728 divorce highskill tenant white male
## 1729 married highskill wife white female
## 1730 married lowskill husband white male
## 1731 notmarried highskill depchild white male
## 1732 notmarried highskill tenant black male
## 1733 notmarried highskill tenant black male
## 1734 notmarried lowskill tenant white male
## 1735 notmarried highskill tenant white male
## 1736 married highskill husband white male
## 1737 notmarried midskill relative white male
## 1738 notmarried lowskill tenant white female
## 1739 divorce lowskill tenant white male
## 1740 married midskill husband white male
## 1741 married clerical husband white male
## 1742 married lowskill wife white female
## 1743 divorce midskill tenant white female
## 1744 notmarried clerical depchild white female
## 1745 married midskill husband white male
## 1746 widowed highskill tenant white female
## 1747 notmarried highskill depchild white male
## 1748 notmarried clerical tenant white female
## 1749 notmarried lowskill tenant white female
## 1750 widowed clerical single_occ white female
## 1751 notmarried midskill tenant white female
## 1752 divorce midskill tenant white male
## 1753 divorce clerical single_occ white female
## 1754 divorce midskill tenant white female
## 1755 married highskill husband black male
## 1756 married highskill depchild white female
## 1757 divorce highskill tenant Asian_Pac_Islander male
## 1758 notmarried agriculture tenant white male
## 1759 married other husband white male
## 1760 notmarried lowskill depchild white female
## 1761 married highskill wife white female
## 1762 married other husband white male
## 1763 divorce clerical single_occ white female
## 1764 notmarried midskill depchild black male
## 1765 divorce highskill tenant white female
## 1766 married highskill wife white female
## 1767 notmarried lowskill relative black male
## 1768 married midskill husband white male
## 1769 married highskill husband white male
## 1770 married highskill husband white male
## 1771 married highskill tenant white male
## 1772 married highskill husband white male
## 1773 married midskill husband white male
## 1774 notmarried other depchild white female
## 1775 married lowskill wife black female
## 1776 married midskill husband white male
## 1777 married midskill husband white male
## 1778 widowed agriculture single_occ white male
## 1779 notmarried other depchild white male
## 1780 married highskill husband white male
## 1781 married highskill husband white male
## 1782 married highskill husband white male
## 1783 notmarried lowskill depchild white male
## 1784 married highskill husband white male
## 1785 notmarried clerical tenant white male
## 1786 married highskill tenant white female
## 1787 married highskill wife white female
## 1788 married highskill husband Asian_Pac_Islander male
## 1789 divorce clerical single_occ white female
## 1790 married lowskill single_occ white female
## 1791 married highskill husband white male
## 1792 divorce midskill tenant white male
## 1793 notmarried lowskill single_occ white female
## 1794 notmarried clerical tenant Asian_Pac_Islander female
## 1795 married midskill husband black male
## 1796 married highskill husband white male
## 1797 notmarried clerical tenant white male
## 1798 married lowskill husband black male
## 1799 married clerical husband white male
## 1800 divorce highskill tenant white female
## 1801 married clerical husband white male
## 1802 widowed clerical single_occ black female
## 1803 divorce lowskill tenant white female
## 1804 married highskill husband Asian_Pac_Islander male
## 1805 notmarried highskill tenant white male
## 1806 notmarried highskill tenant white male
## 1807 married midskill husband white male
## 1808 married highskill husband white male
## 1809 married highskill husband white male
## 1810 divorce highskill single_occ white male
## 1811 married highskill husband white male
## 1812 married highskill husband white male
## 1813 married midskill husband white male
## 1814 widowed highskill depchild black female
## 1815 married highskill husband white male
## 1816 notmarried lowskill depchild black male
## 1817 married midskill husband white male
## 1818 divorce midskill single_occ white female
## 1819 married midskill husband white male
## 1820 married clerical husband white male
## 1821 married lowskill husband white male
## 1822 notmarried midskill tenant white male
## 1823 notmarried highskill depchild white male
## 1824 notmarried other depchild white male
## 1825 married midskill husband white male
## 1826 divorce highskill single_occ white male
## 1827 notmarried highskill single_occ white female
## 1828 divorce clerical single_occ black female
## 1829 notmarried highskill depchild white female
## 1830 divorce midskill single_occ white female
## 1831 notmarried lowskill depchild white male
## 1832 widowed highskill tenant white female
## 1833 married highskill husband white male
## 1834 divorce highskill tenant white female
## 1835 notmarried midskill tenant white male
## 1836 notmarried clerical tenant white female
## 1837 married highskill husband white male
## 1838 married agriculture husband white male
## 1839 divorce clerical single_occ white male
## 1840 married clerical husband Asian_Pac_Islander male
## 1841 notmarried midskill tenant white male
## 1842 married midskill husband white male
## 1843 married midskill wife white female
## 1844 married midskill husband white male
## 1845 notmarried midskill tenant native male
## 1846 notmarried midskill tenant black male
## 1847 notmarried other depchild white female
## 1848 notmarried lowskill depchild white female
## 1849 notmarried highskill tenant white female
## 1850 married midskill husband white male
## 1851 married lowskill husband white male
## 1852 married other husband white male
## 1853 notmarried lowskill depchild black male
## 1854 divorce midskill single_occ white male
## 1855 notmarried midskill single_occ black male
## 1856 notmarried highskill depchild white female
## 1857 notmarried highskill tenant white female
## 1858 notmarried lowskill depchild white female
## 1859 notmarried lowskill depchild white male
## 1860 married clerical wife white female
## 1861 divorce highskill tenant white male
## 1862 married midskill husband white male
## 1863 married highskill husband white male
## 1864 notmarried midskill relative white male
## 1865 married highskill husband Asian_Pac_Islander male
## 1866 married other single_occ black female
## 1867 notmarried lowskill tenant white male
## 1868 divorce clerical tenant white female
## 1869 divorce lowskill tenant white male
## 1870 married highskill husband white male
## 1871 married midskill husband white male
## 1872 notmarried clerical depchild black male
## 1873 married highskill husband white male
## 1874 notmarried clerical tenant white male
## 1875 notmarried lowskill depchild white male
## 1876 married highskill husband black male
## 1877 divorce highskill tenant white male
## 1878 married highskill husband white male
## 1879 notmarried other depchild white male
## 1880 divorce clerical tenant white female
## 1881 notmarried lowskill single_occ white male
## 1882 married highskill husband white male
## 1883 married highskill wife white female
## 1884 notmarried highskill tenant black male
## 1885 notmarried highskill single_occ white male
## 1886 notmarried lowskill tenant white female
## 1887 notmarried highskill tenant white female
## 1888 married agriculture husband white male
## 1889 notmarried lowskill depchild white male
## 1890 married highskill wife white female
## 1891 married agriculture husband white male
## 1892 widowed highskill tenant white female
## 1893 divorce lowskill relative white male
## 1894 married highskill husband white male
## 1895 widowed highskill tenant white male
## 1896 divorce highskill tenant white male
## 1897 married highskill husband white male
## 1898 notmarried midskill tenant white male
## 1899 married midskill husband white male
## 1900 notmarried highskill depchild white male
## 1901 notmarried lowskill tenant other male
## 1902 widowed agriculture single_occ white female
## 1903 notmarried midskill tenant white male
## 1904 notmarried clerical tenant white female
## 1905 married midskill husband white male
## 1906 married midskill husband white male
## 1907 divorce highskill single_occ white female
## 1908 notmarried highskill tenant white female
## 1909 married midskill husband white male
## 1910 married midskill husband white male
## 1911 married midskill husband white male
## 1912 notmarried midskill single_occ white male
## 1913 married highskill husband white male
## 1914 married midskill husband white male
## 1915 divorce midskill tenant white male
## 1916 married highskill husband white male
## 1917 married highskill husband white male
## 1918 married highskill husband black male
## 1919 notmarried highskill depchild white male
## 1920 notmarried clerical tenant white female
## 1921 divorce clerical single_occ white female
## 1922 married midskill husband black male
## 1923 married highskill husband white male
## 1924 notmarried other depchild white female
## 1925 notmarried highskill depchild white female
## 1926 notmarried highskill tenant white male
## 1927 notmarried highskill tenant white male
## 1928 married lowskill husband white male
## 1929 notmarried midskill depchild white male
## 1930 notmarried highskill tenant white male
## 1931 divorce clerical tenant white male
## 1932 married other depchild black female
## 1933 married midskill relative Asian_Pac_Islander female
## 1934 married highskill relative white female
## 1935 married highskill husband white male
## 1936 married highskill husband white male
## 1937 divorce highskill single_occ black male
## 1938 married highskill single_occ white female
## 1939 married highskill husband white male
## 1940 notmarried clerical tenant white female
## 1941 married agriculture husband white male
## 1942 married highskill husband white male
## 1943 divorce highskill single_occ black female
## 1944 married clerical wife white female
## 1945 notmarried clerical relative white female
## 1946 married highskill husband white male
## 1947 divorce highskill tenant white female
## 1948 notmarried clerical single_occ black female
## 1949 married highskill husband white male
## 1950 married highskill husband white male
## 1951 married highskill husband white male
## 1952 married highskill husband white male
## 1953 notmarried highskill tenant black male
## 1954 married midskill husband white male
## 1955 married highskill husband white male
## 1956 notmarried midskill depchild white male
## 1957 married highskill husband white male
## 1958 widowed lowskill tenant white female
## 1959 notmarried highskill tenant white female
## 1960 married highskill husband white male
## 1961 notmarried clerical depchild white male
## 1962 married highskill husband white male
## 1963 married highskill husband white male
## 1964 married highskill husband white male
## 1965 notmarried midskill single_occ white male
## 1966 divorce lowskill single_occ white female
## 1967 notmarried highskill depchild white male
## 1968 notmarried clerical single_occ black female
## 1969 married midskill husband white male
## 1970 married highskill husband Asian_Pac_Islander male
## 1971 notmarried highskill tenant white male
## 1972 divorce other tenant black male
## 1973 notmarried highskill tenant white male
## 1974 married lowskill husband white male
## 1975 married highskill husband white male
## 1976 married highskill tenant Asian_Pac_Islander male
## 1977 notmarried highskill tenant white male
## 1978 notmarried highskill tenant white female
## 1979 married agriculture husband white male
## 1980 divorce lowskill depchild black male
## 1981 divorce highskill tenant white female
## 1982 married clerical husband white male
## 1983 notmarried highskill tenant black female
## 1984 married midskill husband white male
## 1985 married highskill husband white male
## 1986 notmarried midskill tenant white male
## 1987 married highskill husband white male
## 1988 married other wife white female
## 1989 married midskill husband white male
## 1990 notmarried highskill tenant black female
## 1991 notmarried lowskill tenant white female
## 1992 notmarried lowskill tenant white male
## 1993 notmarried highskill tenant white male
## 1994 divorce highskill single_occ white male
## 1995 notmarried highskill single_occ white female
## 1996 divorce midskill tenant white male
## 1997 married highskill husband white male
## 1998 married highskill tenant white female
## 1999 married highskill husband white male
## 2000 divorce midskill single_occ white male
## 2001 notmarried midskill single_occ white male
## 2002 notmarried highskill relative white female
## 2003 married agriculture husband white male
## 2004 married highskill wife Asian_Pac_Islander female
## 2005 divorce highskill tenant white male
## 2006 notmarried agriculture depchild black male
## 2007 notmarried clerical relative black female
## 2008 married midskill husband white male
## 2009 notmarried midskill depchild white male
## 2010 married lowskill tenant white female
## 2011 notmarried highskill tenant white female
## 2012 notmarried lowskill depchild white female
## 2013 notmarried lowskill tenant white female
## 2014 notmarried highskill tenant white female
## 2015 married highskill husband white male
## 2016 notmarried highskill tenant white female
## 2017 notmarried highskill tenant white male
## 2018 notmarried clerical tenant white male
## 2019 married highskill husband white male
## 2020 notmarried midskill depchild white male
## 2021 married lowskill wife white female
## 2022 notmarried highskill tenant white male
## 2023 divorce lowskill relative white male
## 2024 divorce lowskill depchild white female
## 2025 married highskill husband white male
## 2026 notmarried other tenant white female
## 2027 married midskill husband white male
## 2028 notmarried lowskill tenant white male
## 2029 married highskill husband white male
## 2030 married highskill husband white male
## 2031 married highskill wife white female
## 2032 married highskill wife white female
## 2033 married midskill husband white male
## 2034 married midskill husband black male
## 2035 married highskill depchild black male
## 2036 divorce highskill single_occ white female
## 2037 notmarried other relative native female
## 2038 married midskill husband white male
## 2039 married highskill husband white male
## 2040 married highskill husband white male
## 2041 notmarried highskill single_occ white male
## 2042 widowed lowskill single_occ black female
## 2043 married agriculture husband white male
## 2044 married highskill husband white male
## 2045 divorce highskill tenant white male
## 2046 notmarried clerical depchild white male
## 2047 notmarried other tenant white male
## 2048 notmarried midskill tenant white male
## 2049 married midskill husband white male
## 2050 married highskill depchild white female
## 2051 notmarried clerical tenant white female
## 2052 married highskill husband white male
## 2053 notmarried lowskill relative black male
## 2054 notmarried highskill single_occ white male
## 2055 notmarried highskill tenant white female
## 2056 married midskill husband white male
## 2057 notmarried highskill tenant white male
## 2058 married midskill husband white male
## 2059 notmarried lowskill depchild white male
## 2060 notmarried clerical depchild white female
## 2061 divorce lowskill tenant Asian_Pac_Islander female
## 2062 notmarried other depchild white male
## 2063 notmarried highskill depchild white female
## 2064 married highskill husband white male
## 2065 divorce clerical tenant white female
## 2066 notmarried lowskill single_occ white female
## 2067 married highskill husband white male
## 2068 widowed clerical tenant white female
## 2069 married lowskill wife Asian_Pac_Islander female
## 2070 divorce highskill depchild white male
## 2071 notmarried highskill tenant white male
## 2072 married agriculture husband white male
## 2073 married other husband white male
## 2074 married highskill husband black male
## 2075 married highskill husband white male
## 2076 notmarried clerical depchild black male
## 2077 divorce lowskill single_occ white female
## 2078 notmarried midskill depchild white male
## 2079 notmarried agriculture depchild white male
## 2080 married highskill husband white male
## 2081 divorce highskill single_occ black female
## 2082 married highskill husband white male
## 2083 divorce highskill single_occ white female
## 2084 divorce midskill tenant white male
## 2085 married other wife white female
## 2086 married highskill husband white male
## 2087 married highskill husband white male
## 2088 notmarried clerical depchild white male
## 2089 married clerical wife white female
## 2090 married lowskill husband white male
## 2091 married highskill husband white male
## 2092 notmarried other tenant white male
## 2093 divorce highskill tenant white male
## 2094 married highskill husband white male
## 2095 notmarried other depchild white male
## 2096 married midskill husband white male
## 2097 notmarried highskill tenant Asian_Pac_Islander male
## 2098 divorce clerical tenant white female
## 2099 married highskill husband white male
## 2100 married midskill husband white male
## 2101 divorce highskill tenant white female
## 2102 married midskill husband white male
## 2103 divorce midskill single_occ white female
## 2104 married highskill husband white male
## 2105 married midskill husband Asian_Pac_Islander male
## 2106 notmarried other depchild white male
## 2107 married midskill husband white male
## 2108 married midskill relative black female
## 2109 married agriculture husband white male
## 2110 married highskill husband white male
## 2111 married highskill husband white male
## 2112 divorce clerical single_occ white female
## 2113 married clerical wife white female
## 2114 notmarried highskill single_occ white female
## 2115 notmarried highskill depchild white male
## 2116 notmarried highskill depchild white female
## 2117 divorce midskill tenant white male
## 2118 divorce highskill tenant white female
## 2119 widowed other tenant white female
## 2120 notmarried midskill depchild white male
## 2121 married clerical wife white female
## 2122 notmarried midskill depchild white female
## 2123 notmarried highskill depchild black male
## 2124 notmarried highskill depchild white male
## 2125 notmarried lowskill depchild white female
## 2126 notmarried highskill depchild white male
## 2127 notmarried other depchild Asian_Pac_Islander female
## 2128 notmarried midskill tenant white male
## 2129 married lowskill wife black female
## 2130 married highskill husband white male
## 2131 divorce clerical single_occ Asian_Pac_Islander female
## 2132 divorce highskill single_occ white female
## 2133 notmarried clerical tenant white female
## 2134 notmarried highskill tenant white female
## 2135 married midskill husband white male
## 2136 notmarried highskill tenant Asian_Pac_Islander female
## 2137 notmarried lowskill tenant white female
## 2138 divorce clerical relative white female
## 2139 notmarried lowskill tenant white female
## 2140 married highskill husband white male
## 2141 widowed highskill single_occ white female
## 2142 widowed highskill single_occ white male
## 2143 widowed clerical single_occ white female
## 2144 divorce highskill depchild white female
## 2145 married midskill husband white male
## 2146 married midskill husband white male
## 2147 notmarried highskill depchild white female
## 2148 married midskill husband white male
## 2149 divorce highskill tenant white male
## 2150 married midskill husband white male
## 2151 notmarried midskill tenant black male
## 2152 notmarried clerical tenant white male
## 2153 notmarried other depchild white male
## 2154 married highskill husband white male
## 2155 widowed lowskill tenant white female
## 2156 married other husband white male
## 2157 married midskill husband black male
## 2158 married highskill husband white male
## 2159 married highskill husband white male
## 2160 married highskill husband white male
## 2161 married highskill husband white male
## 2162 notmarried lowskill tenant white female
## 2163 notmarried midskill depchild white male
## 2164 married other husband white male
## 2165 married other wife white female
## 2166 notmarried lowskill depchild black female
## 2167 married highskill husband white male
## 2168 married highskill husband white male
## 2169 divorce highskill single_occ white male
## 2170 divorce lowskill tenant black female
## 2171 married midskill husband white male
## 2172 divorce highskill depchild white female
## 2173 married midskill husband white male
## 2174 married midskill husband white male
## 2175 married highskill husband white male
## 2176 married highskill wife white female
## 2177 married midskill husband white male
## 2178 divorce clerical tenant white female
## 2179 married midskill husband white male
## 2180 married highskill husband white male
## 2181 married highskill wife white female
## 2182 married highskill husband white male
## 2183 divorce highskill single_occ white male
## 2184 married agriculture husband white male
## 2185 married highskill husband white male
## 2186 divorce midskill relative white male
## 2187 divorce highskill tenant white male
## 2188 notmarried midskill tenant white male
## 2189 notmarried highskill tenant white male
## 2190 widowed midskill tenant white female
## 2191 married midskill husband white male
## 2192 notmarried clerical tenant white female
## 2193 divorce clerical depchild black female
## 2194 married lowskill relative white male
## 2195 married highskill husband white male
## 2196 married midskill husband white male
## 2197 married midskill husband white male
## 2198 notmarried clerical depchild white female
## 2199 married clerical wife white female
## 2200 married midskill husband white male
## 2201 married agriculture husband white male
## 2202 married clerical husband white male
## 2203 widowed clerical single_occ white female
## 2204 notmarried highskill depchild white female
## 2205 divorce highskill single_occ white female
## 2206 married midskill wife black female
## 2207 married midskill husband white male
## 2208 notmarried lowskill tenant black female
## 2209 married highskill husband Asian_Pac_Islander male
## 2210 widowed highskill tenant black male
## 2211 divorce other tenant white female
## 2212 notmarried lowskill tenant white female
## 2213 married lowskill husband white male
## 2214 married other husband white male
## 2215 notmarried lowskill tenant white male
## 2216 married highskill husband white male
## 2217 notmarried clerical tenant white female
## 2218 married highskill husband white male
## 2219 notmarried midskill single_occ black female
## 2220 divorce highskill tenant white female
## 2221 notmarried midskill tenant white male
## 2222 divorce lowskill tenant white female
## 2223 notmarried other depchild white female
## 2224 notmarried midskill depchild black male
## 2225 notmarried midskill single_occ white male
## 2226 notmarried highskill tenant white male
## 2227 divorce clerical single_occ white female
## 2228 divorce highskill tenant white female
## 2229 married clerical wife black female
## 2230 married midskill husband white male
## 2231 married highskill husband white male
## 2232 notmarried highskill depchild white female
## 2233 notmarried highskill tenant black male
## 2234 married highskill husband white male
## 2235 married midskill husband white male
## 2236 divorce highskill single_occ white female
## 2237 married highskill wife white female
## 2238 married highskill husband white male
## 2239 notmarried highskill single_occ white female
## 2240 married clerical husband white male
## 2241 married highskill husband white male
## 2242 married midskill husband white male
## 2243 married lowskill husband white male
## 2244 married midskill husband white male
## 2245 divorce highskill single_occ white female
## 2246 married midskill husband white male
## 2247 divorce highskill tenant white male
## 2248 divorce clerical tenant white female
## 2249 notmarried lowskill depchild white male
## 2250 married clerical husband Asian_Pac_Islander male
## 2251 divorce highskill single_occ white female
## 2252 notmarried clerical single_occ white female
## 2253 married clerical husband white male
## 2254 notmarried highskill tenant white female
## 2255 married highskill husband white male
## 2256 divorce lowskill tenant black male
## 2257 married agriculture husband white male
## 2258 notmarried lowskill depchild white female
## 2259 married highskill husband white male
## 2260 notmarried highskill single_occ Asian_Pac_Islander male
## 2261 notmarried midskill depchild white male
## 2262 married midskill relative white male
## 2263 divorce clerical tenant white female
## 2264 divorce midskill tenant white male
## 2265 notmarried highskill depchild white male
## 2266 married highskill husband white male
## 2267 notmarried midskill depchild white male
## 2268 notmarried midskill single_occ black female
## 2269 married midskill husband white male
## 2270 married highskill husband white male
## 2271 divorce midskill single_occ white male
## 2272 notmarried midskill tenant white male
## 2273 notmarried highskill depchild white female
## 2274 married highskill husband white male
## 2275 married midskill husband white male
## 2276 married midskill husband white male
## 2277 widowed lowskill depchild white female
## 2278 married midskill husband white male
## 2279 notmarried highskill relative white female
## 2280 notmarried highskill tenant white female
## 2281 notmarried highskill tenant white female
## 2282 notmarried other depchild white male
## 2283 married lowskill husband white male
## 2284 notmarried highskill single_occ white female
## 2285 notmarried highskill tenant white male
## 2286 notmarried highskill tenant white female
## 2287 married highskill husband Asian_Pac_Islander male
## 2288 married highskill husband white male
## 2289 married highskill relative black female
## 2290 married midskill husband white male
## 2291 notmarried lowskill depchild white female
## 2292 divorce midskill tenant white male
## 2293 notmarried other depchild white male
## 2294 married midskill husband white male
## 2295 divorce midskill single_occ white female
## 2296 notmarried midskill depchild white male
## 2297 notmarried midskill relative white male
## 2298 divorce clerical single_occ white female
## 2299 married lowskill husband white male
## 2300 divorce clerical single_occ white female
## 2301 divorce highskill tenant white male
## 2302 divorce highskill tenant white female
## 2303 divorce highskill tenant white male
## 2304 notmarried lowskill tenant Asian_Pac_Islander male
## 2305 married highskill husband white male
## 2306 married lowskill wife white female
## 2307 married midskill husband white male
## 2308 notmarried lowskill depchild white male
## 2309 married highskill husband white male
## 2310 widowed clerical tenant white female
## 2311 widowed midskill tenant white male
## 2312 married highskill tenant white male
## 2313 married highskill wife white female
## 2314 notmarried clerical depchild native female
## 2315 married clerical wife white female
## 2316 widowed midskill tenant white male
## 2317 married highskill husband white male
## 2318 notmarried highskill tenant white male
## 2319 married highskill husband white male
## 2320 married highskill husband white male
## 2321 notmarried midskill tenant white male
## 2322 married highskill husband white male
## 2323 notmarried midskill depchild white male
## 2324 notmarried other depchild Asian_Pac_Islander male
## 2325 married highskill husband white male
## 2326 married highskill husband white male
## 2327 widowed midskill single_occ white male
## 2328 married other tenant white male
## 2329 married agriculture husband white male
## 2330 divorce highskill tenant white male
## 2331 married highskill wife Asian_Pac_Islander female
## 2332 divorce highskill tenant white male
## 2333 married midskill husband white male
## 2334 divorce midskill tenant white male
## 2335 married highskill husband white male
## 2336 notmarried clerical depchild white female
## 2337 married midskill tenant white male
## 2338 notmarried midskill depchild white male
## 2339 notmarried highskill depchild white female
## 2340 married highskill husband Asian_Pac_Islander male
## 2341 divorce other tenant white female
## 2342 married midskill husband white male
## 2343 notmarried agriculture tenant white male
## 2344 notmarried lowskill single_occ black female
## 2345 married highskill husband white male
## 2346 married highskill husband white male
## 2347 married highskill husband white male
## 2348 notmarried lowskill depchild white male
## 2349 married midskill husband white male
## 2350 notmarried highskill tenant black male
## 2351 divorce highskill tenant white female
## 2352 notmarried highskill tenant white female
## 2353 married highskill husband white male
## 2354 married agriculture husband white male
## 2355 notmarried other depchild white female
## 2356 married highskill husband white male
## 2357 divorce other depchild white male
## 2358 married lowskill husband white male
## 2359 married other husband white male
## 2360 notmarried other depchild white male
## 2361 married highskill husband white male
## 2362 married highskill husband white male
## 2363 married midskill husband white male
## 2364 notmarried lowskill depchild white male
## 2365 notmarried midskill depchild black male
## 2366 divorce lowskill tenant black female
## 2367 notmarried clerical tenant white male
## 2368 divorce highskill tenant white female
## 2369 notmarried midskill depchild white male
## 2370 married lowskill husband white male
## 2371 married highskill husband white male
## 2372 divorce highskill tenant white male
## 2373 married other husband white male
## 2374 married midskill husband white male
## 2375 notmarried highskill tenant white male
## 2376 divorce highskill tenant black female
## 2377 notmarried highskill tenant black female
## 2378 married midskill husband white male
## 2379 divorce clerical single_occ white female
## 2380 divorce highskill tenant white male
## 2381 notmarried other tenant white female
## 2382 notmarried midskill depchild white male
## 2383 notmarried other tenant white male
## 2384 married lowskill single_occ native female
## 2385 notmarried highskill depchild white female
## 2386 married highskill husband white male
## 2387 married highskill husband white male
## 2388 married agriculture husband white male
## 2389 married midskill husband white male
## 2390 married clerical husband white male
## 2391 married highskill husband white male
## 2392 notmarried highskill tenant white male
## 2393 married lowskill husband white male
## 2394 notmarried lowskill tenant white male
## 2395 notmarried highskill depchild white female
## 2396 notmarried midskill tenant white male
## 2397 notmarried highskill tenant white female
## 2398 notmarried other depchild white female
## 2399 notmarried highskill depchild white female
## 2400 divorce midskill tenant white male
## 2401 notmarried clerical tenant black female
## 2402 notmarried midskill depchild native male
## 2403 married lowskill husband white male
## 2404 married highskill husband white male
## 2405 married highskill husband white male
## 2406 married midskill husband white male
## 2407 married highskill husband white male
## 2408 married lowskill wife white female
## 2409 notmarried clerical tenant white male
## 2410 notmarried lowskill depchild white male
## 2411 married lowskill husband white male
## 2412 divorce clerical single_occ white female
## 2413 notmarried highskill depchild Asian_Pac_Islander male
## 2414 notmarried agriculture tenant white male
## 2415 divorce highskill single_occ white male
## 2416 married highskill husband white male
## 2417 married agriculture husband white male
## 2418 notmarried clerical depchild white female
## 2419 notmarried highskill tenant white male
## 2420 married midskill husband white male
## 2421 married other husband white male
## 2422 widowed clerical tenant white female
## 2423 married midskill husband white male
## 2424 notmarried highskill tenant white male
## 2425 married midskill husband white male
## 2426 married midskill husband white male
## 2427 married highskill husband white male
## 2428 notmarried other depchild white male
## 2429 notmarried highskill depchild white female
## 2430 married agriculture husband white male
## 2431 married midskill husband white male
## 2432 married midskill husband white male
## 2433 married highskill husband Asian_Pac_Islander male
## 2434 married highskill husband white male
## 2435 notmarried highskill tenant white male
## 2436 notmarried lowskill single_occ black female
## 2437 notmarried clerical tenant white male
## 2438 notmarried lowskill tenant black male
## 2439 notmarried highskill depchild white female
## 2440 married midskill husband white male
## 2441 married highskill husband white male
## 2442 married midskill husband black male
## 2443 divorce clerical single_occ white female
## 2444 notmarried midskill relative white male
## 2445 notmarried highskill depchild white male
## 2446 married highskill husband native male
## 2447 married lowskill husband white male
## 2448 divorce lowskill tenant white female
## 2449 notmarried highskill tenant black female
## 2450 divorce lowskill depchild white female
## 2451 divorce highskill tenant white female
## 2452 notmarried lowskill single_occ white female
## 2453 notmarried highskill tenant other male
## 2454 married clerical wife white female
## 2455 divorce clerical single_occ white female
## 2456 divorce midskill tenant white female
## 2457 married highskill husband white male
## 2458 married midskill husband white male
## 2459 divorce clerical single_occ white female
## 2460 divorce midskill depchild white male
## 2461 married midskill husband white male
## 2462 notmarried midskill tenant white male
## 2463 married highskill husband white male
## 2464 divorce highskill tenant black male
## 2465 married other husband white male
## 2466 married highskill husband white male
## 2467 divorce midskill tenant white female
## 2468 divorce highskill relative white female
## 2469 divorce highskill tenant white male
## 2470 married highskill wife black female
## 2471 married highskill husband white male
## 2472 notmarried highskill tenant white female
## 2473 married highskill relative white female
## 2474 married highskill husband white male
## 2475 married midskill husband white male
## 2476 notmarried midskill depchild white female
## 2477 notmarried other tenant white male
## 2478 divorce midskill tenant white male
## 2479 married midskill husband white male
## 2480 divorce lowskill single_occ white male
## 2481 married highskill husband white male
## 2482 married highskill husband white male
## 2483 notmarried clerical tenant white male
## 2484 married highskill husband white male
## 2485 married highskill husband white male
## 2486 married midskill husband white male
## 2487 married other husband black male
## 2488 divorce clerical tenant white female
## 2489 married midskill husband native male
## 2490 divorce highskill single_occ white female
## 2491 divorce midskill single_occ white male
## 2492 married other husband white male
## 2493 notmarried lowskill depchild white female
## 2494 notmarried midskill depchild white male
## 2495 divorce highskill tenant white male
## 2496 married midskill husband white male
## 2497 notmarried other depchild white female
## 2498 married highskill husband white male
## 2499 married highskill husband white male
## 2500 notmarried highskill depchild black male
## 2501 notmarried clerical tenant white female
## 2502 married highskill tenant white male
## 2503 divorce midskill tenant white female
## 2504 divorce midskill single_occ white female
## 2505 married midskill husband white male
## 2506 widowed midskill tenant white male
## 2507 notmarried other depchild white male
## 2508 married highskill husband white male
## 2509 notmarried midskill tenant white male
## 2510 married midskill tenant Asian_Pac_Islander male
## 2511 divorce highskill tenant black male
## 2512 notmarried clerical tenant white female
## 2513 married clerical husband Asian_Pac_Islander male
## 2514 married other husband white male
## 2515 married midskill husband white male
## 2516 notmarried lowskill relative black male
## 2517 married lowskill wife white female
## 2518 married highskill husband white male
## 2519 notmarried lowskill depchild black female
## 2520 married midskill husband white male
## 2521 married midskill husband white male
## 2522 notmarried other tenant white female
## 2523 married midskill husband white male
## 2524 divorce lowskill single_occ white female
## 2525 married midskill husband white male
## 2526 divorce midskill tenant white male
## 2527 divorce highskill single_occ Asian_Pac_Islander female
## 2528 notmarried highskill relative white female
## 2529 married highskill husband white male
## 2530 notmarried highskill tenant white male
## 2531 notmarried lowskill tenant white female
## 2532 notmarried lowskill tenant white female
## 2533 notmarried highskill depchild white male
## 2534 notmarried highskill tenant black male
## 2535 married midskill husband white male
## 2536 divorce clerical single_occ white female
## 2537 notmarried clerical tenant white male
## 2538 notmarried highskill tenant white male
## 2539 married midskill husband white male
## 2540 divorce highskill single_occ black female
## 2541 widowed clerical single_occ white female
## 2542 married clerical husband black male
## 2543 married highskill tenant white male
## 2544 widowed midskill single_occ white male
## 2545 notmarried other depchild white female
## 2546 divorce highskill tenant white female
## 2547 married midskill husband white male
## 2548 notmarried clerical depchild Asian_Pac_Islander female
## 2549 divorce clerical tenant white female
## 2550 married highskill tenant white female
## 2551 notmarried lowskill depchild white female
## 2552 married agriculture husband white male
## 2553 married highskill husband white male
## 2554 notmarried clerical single_occ other female
## 2555 married highskill husband white male
## 2556 notmarried agriculture depchild white male
## 2557 married highskill husband white male
## 2558 notmarried highskill tenant white female
## 2559 married highskill husband Asian_Pac_Islander male
## 2560 married clerical wife white female
## 2561 married clerical wife white female
## 2562 notmarried midskill single_occ black female
## 2563 divorce highskill tenant white male
## 2564 notmarried clerical single_occ white female
## 2565 notmarried highskill depchild black male
## 2566 married clerical husband white male
## 2567 married other husband white male
## 2568 notmarried highskill tenant white male
## 2569 notmarried agriculture depchild white male
## 2570 married highskill husband white male
## 2571 married other husband white male
## 2572 notmarried other tenant white female
## 2573 divorce midskill tenant white male
## 2574 divorce midskill tenant white female
## 2575 married highskill husband white male
## 2576 notmarried highskill single_occ black female
## 2577 married highskill husband white male
## 2578 divorce clerical single_occ white female
## 2579 married other husband black male
## 2580 married midskill husband white male
## 2581 married midskill husband white male
## 2582 married midskill single_occ white female
## 2583 married midskill husband white male
## 2584 married highskill husband white male
## 2585 divorce midskill single_occ white male
## 2586 divorce clerical tenant white female
## 2587 notmarried other tenant white female
## 2588 married highskill husband Asian_Pac_Islander male
## 2589 married highskill husband white male
## 2590 married midskill husband white male
## 2591 divorce clerical relative Asian_Pac_Islander female
## 2592 married midskill tenant white male
## 2593 notmarried midskill tenant white male
## 2594 notmarried highskill tenant black male
## 2595 widowed other single_occ white male
## 2596 divorce lowskill single_occ white female
## 2597 notmarried midskill depchild black female
## 2598 divorce highskill tenant white female
## 2599 married midskill husband white male
## 2600 married clerical husband white male
## 2601 notmarried clerical tenant white male
## 2602 married midskill husband native male
## 2603 divorce highskill single_occ white female
## 2604 divorce highskill tenant white female
## 2605 notmarried lowskill depchild white male
## 2606 married lowskill husband other male
## 2607 notmarried other depchild white male
## 2608 married highskill husband white male
## 2609 notmarried lowskill tenant white female
## 2610 married highskill husband white male
## 2611 notmarried highskill relative native female
## 2612 married midskill husband black male
## 2613 married highskill husband white male
## 2614 notmarried midskill relative white male
## 2615 married highskill husband white male
## 2616 widowed clerical tenant black female
## 2617 notmarried midskill tenant white male
## 2618 notmarried clerical tenant white female
## 2619 married highskill husband white male
## 2620 married lowskill husband white male
## 2621 married midskill husband white male
## 2622 notmarried highskill tenant white male
## 2623 married midskill husband native male
## 2624 notmarried midskill tenant white female
## 2625 married midskill husband white male
## 2626 married midskill husband white male
## 2627 married highskill husband white male
## 2628 divorce midskill tenant white male
## 2629 notmarried lowskill relative white male
## 2630 married midskill husband white male
## 2631 notmarried highskill tenant white male
## 2632 married highskill husband white male
## 2633 married other wife white female
## 2634 married highskill husband white male
## 2635 notmarried other tenant white male
## 2636 married highskill husband white male
## 2637 notmarried clerical tenant white female
## 2638 married highskill wife white female
## 2639 married other husband white male
## 2640 notmarried midskill tenant white female
## 2641 married midskill husband white male
## 2642 divorce highskill tenant white female
## 2643 notmarried clerical depchild white female
## 2644 married midskill husband white male
## 2645 notmarried lowskill tenant white female
## 2646 married midskill husband white male
## 2647 widowed lowskill tenant white female
## 2648 married highskill husband other male
## 2649 notmarried clerical tenant white female
## 2650 married clerical wife white female
## 2651 notmarried clerical depchild black female
## 2652 married highskill tenant white male
## 2653 married highskill husband white male
## 2654 notmarried clerical tenant Asian_Pac_Islander male
## 2655 married highskill husband Asian_Pac_Islander male
## 2656 notmarried clerical relative Asian_Pac_Islander female
## 2657 notmarried highskill depchild white female
## 2658 widowed clerical single_occ white female
## 2659 married midskill husband white male
## 2660 married highskill husband white male
## 2661 married midskill husband white male
## 2662 married midskill husband black male
## 2663 divorce midskill single_occ white female
## 2664 divorce highskill single_occ white female
## 2665 divorce highskill tenant white female
## 2666 married highskill husband white male
## 2667 notmarried lowskill depchild white male
## 2668 married lowskill husband white male
## 2669 divorce lowskill depchild white female
## 2670 widowed highskill tenant white female
## 2671 married lowskill husband white male
## 2672 notmarried highskill depchild white male
## 2673 notmarried highskill tenant white male
## 2674 notmarried other depchild white male
## 2675 notmarried lowskill tenant white male
## 2676 married midskill husband white male
## 2677 married other husband white male
## 2678 notmarried clerical single_occ white male
## 2679 notmarried agriculture tenant white female
## 2680 widowed highskill single_occ white female
## 2681 married highskill husband white male
## 2682 married highskill husband white male
## 2683 married highskill tenant white male
## 2684 married highskill husband white male
## 2685 married highskill husband white male
## 2686 notmarried clerical single_occ black female
## 2687 divorce highskill tenant white male
## 2688 married highskill husband white male
## 2689 married midskill husband white male
## 2690 notmarried other relative white female
## 2691 married midskill husband white male
## 2692 married clerical husband white male
## 2693 married lowskill husband white male
## 2694 notmarried highskill tenant white male
## 2695 married midskill husband white male
## 2696 married midskill husband white male
## 2697 divorce lowskill depchild white male
## 2698 married highskill husband white male
## 2699 divorce agriculture tenant white male
## 2700 divorce highskill tenant white female
## 2701 divorce highskill depchild white male
## 2702 notmarried clerical tenant white female
## 2703 married highskill husband white male
## 2704 notmarried lowskill depchild white male
## 2705 notmarried lowskill depchild white female
## 2706 divorce highskill single_occ white female
## 2707 married lowskill relative white male
## 2708 married highskill husband white male
## 2709 divorce highskill tenant white female
## 2710 notmarried clerical depchild white female
## 2711 married highskill husband white male
## 2712 notmarried midskill relative white male
## 2713 notmarried lowskill tenant white male
## 2714 divorce highskill tenant white female
## 2715 notmarried midskill depchild white male
## 2716 widowed clerical tenant white female
## 2717 married highskill wife white female
## 2718 divorce highskill single_occ white male
## 2719 divorce highskill tenant native male
## 2720 married highskill husband white male
## 2721 notmarried clerical single_occ native female
## 2722 married highskill husband white male
## 2723 notmarried lowskill depchild white male
## 2724 notmarried highskill depchild white female
## 2725 divorce highskill single_occ white female
## 2726 notmarried highskill tenant white female
## 2727 notmarried highskill tenant white male
## 2728 notmarried clerical tenant white female
## 2729 notmarried lowskill depchild white female
## 2730 notmarried lowskill depchild white male
## 2731 married lowskill relative black female
## 2732 married highskill husband white male
## 2733 notmarried lowskill tenant white male
## 2734 divorce highskill single_occ white female
## 2735 married midskill husband white male
## 2736 notmarried highskill tenant white male
## 2737 married highskill husband white male
## 2738 divorce highskill relative white female
## 2739 married clerical wife white female
## 2740 notmarried highskill tenant white female
## 2741 married highskill husband white male
## 2742 married lowskill husband white male
## 2743 divorce lowskill single_occ black male
## 2744 married clerical husband white male
## 2745 married highskill husband white male
## 2746 married midskill husband black male
## 2747 divorce highskill relative white female
## 2748 married midskill husband white male
## 2749 married midskill husband white male
## 2750 notmarried midskill depchild white female
## 2751 divorce highskill tenant white male
## 2752 divorce other tenant white male
## 2753 married highskill husband white male
## 2754 married highskill husband white male
## 2755 married agriculture husband white male
## 2756 notmarried lowskill depchild white female
## 2757 married highskill husband white male
## 2758 notmarried lowskill depchild white male
## 2759 divorce highskill tenant black male
## 2760 married highskill husband white male
## 2761 married other husband white male
## 2762 divorce other depchild white male
## 2763 married midskill husband white male
## 2764 notmarried clerical tenant white female
## 2765 notmarried lowskill depchild white female
## 2766 divorce clerical single_occ white female
## 2767 notmarried midskill depchild white male
## 2768 married midskill husband white male
## 2769 divorce highskill tenant white female
## 2770 notmarried highskill depchild white male
## 2771 divorce clerical single_occ white female
## 2772 divorce highskill tenant white female
## 2773 notmarried lowskill depchild white male
## 2774 notmarried lowskill tenant black male
## 2775 married highskill husband white male
## 2776 married highskill husband black male
## 2777 notmarried highskill depchild white male
## 2778 divorce midskill tenant white male
## 2779 divorce clerical tenant white female
## 2780 divorce lowskill tenant white male
## 2781 married highskill husband white male
## 2782 married highskill husband white male
## 2783 notmarried highskill depchild black female
## 2784 divorce highskill tenant white male
## 2785 notmarried lowskill tenant black male
## 2786 widowed clerical single_occ white female
## 2787 married highskill husband white male
## 2788 notmarried highskill tenant white female
## 2789 notmarried highskill tenant white female
## 2790 divorce midskill tenant white male
## 2791 widowed clerical tenant white female
## 2792 divorce clerical tenant white female
## 2793 divorce midskill tenant white male
## 2794 widowed highskill tenant white female
## 2795 married highskill husband white male
## 2796 divorce midskill single_occ black female
## 2797 married highskill husband white male
## 2798 notmarried clerical tenant white male
## 2799 notmarried lowskill single_occ native male
## 2800 married highskill husband white male
## 2801 married highskill husband white male
## 2802 notmarried lowskill depchild black female
## 2803 married highskill husband white male
## 2804 notmarried highskill depchild white male
## 2805 married clerical wife white female
## 2806 notmarried highskill depchild white male
## 2807 divorce highskill tenant white male
## 2808 widowed lowskill single_occ black female
## 2809 divorce lowskill single_occ white female
## 2810 notmarried clerical tenant white female
## 2811 married agriculture husband white male
## 2812 widowed lowskill single_occ black female
## 2813 married highskill wife white female
## 2814 notmarried clerical tenant white male
## 2815 notmarried highskill depchild white male
## 2816 married midskill husband white male
## 2817 married midskill husband white male
## 2818 married midskill husband white male
## 2819 notmarried highskill tenant white female
## 2820 notmarried lowskill tenant white female
## 2821 married highskill husband white male
## 2822 notmarried midskill depchild white male
## 2823 divorce midskill depchild white male
## 2824 notmarried highskill depchild white male
## 2825 married highskill husband black male
## 2826 married highskill wife white female
## 2827 married midskill husband white male
## 2828 notmarried midskill tenant white male
## 2829 married highskill husband white male
## 2830 married highskill husband white male
## 2831 married highskill husband white male
## 2832 married highskill husband white male
## 2833 married highskill husband white male
## 2834 married highskill husband white male
## 2835 notmarried clerical tenant Asian_Pac_Islander female
## 2836 notmarried highskill depchild white female
## 2837 divorce midskill tenant white male
## 2838 married lowskill wife white female
## 2839 divorce highskill tenant white female
## 2840 married midskill husband white male
## 2841 notmarried highskill tenant white male
## 2842 divorce highskill single_occ black female
## 2843 married clerical husband black male
## 2844 married lowskill husband white male
## 2845 married highskill husband white male
## 2846 married highskill husband white male
## 2847 married highskill husband white male
## 2848 notmarried other single_occ black female
## 2849 married highskill husband white male
## 2850 notmarried lowskill depchild white female
## 2851 married agriculture husband white male
## 2852 notmarried highskill depchild white female
## 2853 married highskill wife white female
## 2854 divorce highskill relative white female
## 2855 notmarried highskill tenant white male
## 2856 notmarried lowskill single_occ black female
## 2857 married other husband white male
## 2858 divorce other single_occ white female
## 2859 notmarried other depchild white male
## 2860 notmarried highskill tenant white male
## 2861 married highskill husband white male
## 2862 notmarried midskill tenant white female
## 2863 notmarried lowskill single_occ white male
## 2864 married highskill husband white male
## 2865 married highskill wife white female
## 2866 divorce midskill single_occ white male
## 2867 married lowskill husband white male
## 2868 divorce lowskill single_occ white female
## 2869 notmarried highskill depchild white male
## 2870 notmarried lowskill depchild black male
## 2871 married midskill husband white male
## 2872 married highskill husband white male
## 2873 married midskill husband white male
## 2874 divorce highskill single_occ white female
## 2875 married clerical wife white female
## 2876 notmarried highskill relative black male
## 2877 notmarried midskill tenant white male
## 2878 married midskill husband white male
## 2879 married lowskill husband white male
## 2880 notmarried lowskill relative white male
## 2881 notmarried lowskill relative white male
## 2882 divorce clerical tenant white female
## 2883 married highskill husband black male
## 2884 divorce highskill tenant white female
## 2885 widowed midskill single_occ black male
## 2886 widowed other single_occ white female
## 2887 married midskill husband white male
## 2888 married highskill wife white female
## 2889 divorce highskill single_occ white female
## 2890 married clerical husband white male
## 2891 married lowskill depchild white female
## 2892 divorce clerical depchild white female
## 2893 married highskill husband white male
## 2894 notmarried highskill tenant white female
## 2895 married highskill husband white male
## 2896 divorce clerical single_occ white female
## 2897 married midskill husband white male
## 2898 divorce lowskill tenant white female
## 2899 notmarried highskill depchild Asian_Pac_Islander male
## 2900 divorce highskill single_occ white female
## 2901 married midskill husband white male
## 2902 married highskill husband white male
## 2903 married lowskill husband white male
## 2904 married highskill husband white male
## 2905 married lowskill husband white male
## 2906 divorce lowskill single_occ white female
## 2907 widowed lowskill tenant black female
## 2908 divorce clerical depchild white female
## 2909 notmarried lowskill depchild white female
## 2910 married highskill husband white male
## 2911 notmarried lowskill depchild white male
## 2912 notmarried highskill depchild white female
## 2913 divorce clerical single_occ white female
## 2914 notmarried clerical tenant white female
## 2915 notmarried midskill single_occ white female
## 2916 married highskill wife white female
## 2917 divorce highskill single_occ white female
## 2918 married highskill husband white male
## 2919 married highskill husband white male
## 2920 married highskill husband white male
## 2921 married agriculture husband white male
## 2922 notmarried midskill relative white male
## 2923 divorce midskill single_occ black male
## 2924 married highskill husband white male
## 2925 notmarried midskill tenant white male
## 2926 married highskill wife white female
## 2927 married midskill tenant Asian_Pac_Islander male
## 2928 divorce midskill depchild black female
## 2929 notmarried clerical depchild white female
## 2930 married midskill husband white male
## 2931 notmarried other depchild white female
## 2932 notmarried midskill tenant white male
## 2933 notmarried other single_occ white female
## 2934 notmarried highskill depchild white male
## 2935 notmarried midskill depchild white male
## 2936 married clerical husband white male
## 2937 notmarried lowskill depchild black male
## 2938 notmarried lowskill depchild white male
## 2939 married midskill wife black female
## 2940 married agriculture husband white male
## 2941 notmarried highskill single_occ black female
## 2942 married highskill husband white male
## 2943 married midskill husband white male
## 2944 notmarried highskill depchild Asian_Pac_Islander male
## 2945 notmarried lowskill depchild white female
## 2946 notmarried midskill depchild black male
## 2947 notmarried lowskill relative white female
## 2948 notmarried other depchild white male
## 2949 married highskill husband white male
## 2950 notmarried midskill depchild white male
## 2951 married highskill husband white male
## 2952 widowed highskill single_occ black female
## 2953 married other wife white female
## 2954 married highskill husband black male
## 2955 notmarried midskill single_occ black female
## 2956 married highskill husband white male
## 2957 married highskill husband white male
## 2958 divorce highskill single_occ white female
## 2959 divorce highskill tenant white female
## 2960 married agriculture husband white male
## 2961 notmarried highskill tenant white male
## 2962 widowed other tenant black male
## 2963 married highskill husband white male
## 2964 notmarried agriculture depchild white male
## 2965 notmarried midskill depchild white female
## 2966 married highskill husband white male
## 2967 notmarried midskill tenant white male
## 2968 widowed clerical tenant white female
## 2969 married highskill husband white male
## 2970 notmarried highskill tenant white male
## 2971 notmarried agriculture tenant white male
## 2972 married highskill husband white male
## 2973 divorce lowskill depchild white male
## 2974 married highskill husband white male
## 2975 married midskill husband black male
## 2976 notmarried clerical single_occ black female
## 2977 divorce midskill tenant white male
## 2978 married highskill husband white male
## 2979 divorce midskill single_occ white male
## 2980 divorce clerical single_occ black female
## 2981 notmarried highskill tenant white male
## 2982 notmarried lowskill relative white male
## 2983 married highskill husband white male
## 2984 married agriculture husband white male
## 2985 divorce clerical single_occ white female
## 2986 notmarried lowskill depchild white female
## 2987 married midskill husband black male
## 2988 notmarried lowskill tenant white male
## 2989 notmarried midskill depchild white male
## 2990 married highskill husband Asian_Pac_Islander male
## 2991 notmarried highskill depchild white male
## 2992 divorce highskill tenant white male
## 2993 notmarried highskill single_occ white female
## 2994 married agriculture wife native female
## 2995 married highskill husband white male
## 2996 married midskill husband white male
## 2997 notmarried highskill tenant white male
## 2998 divorce midskill relative white female
## 2999 married lowskill husband white male
## 3000 married other husband white male
## 3001 married midskill husband white male
## 3002 married midskill husband white male
## 3003 divorce lowskill single_occ white female
## 3004 divorce highskill tenant white female
## 3005 notmarried clerical tenant white female
## 3006 notmarried other depchild white male
## 3007 divorce highskill single_occ white female
## 3008 divorce highskill relative white male
## 3009 notmarried midskill relative white male
## 3010 married midskill husband white male
## 3011 married highskill wife white female
## 3012 divorce highskill tenant white male
## 3013 married highskill husband white male
## 3014 notmarried highskill tenant white female
## 3015 married lowskill husband white male
## 3016 notmarried highskill tenant white male
## 3017 married clerical husband white male
## 3018 married highskill husband white male
## 3019 notmarried agriculture depchild white male
## 3020 notmarried highskill tenant black female
## 3021 married highskill husband white male
## 3022 married midskill husband Asian_Pac_Islander male
## 3023 married midskill husband white male
## 3024 notmarried midskill tenant black male
## 3025 notmarried highskill depchild white female
## 3026 married midskill husband white male
## 3027 married midskill husband white male
## 3028 married highskill husband white male
## 3029 notmarried lowskill tenant white male
## 3030 married highskill husband white male
## 3031 widowed midskill single_occ white female
## 3032 divorce midskill single_occ white female
## 3033 married midskill husband white male
## 3034 divorce other tenant white male
## 3035 married clerical husband white male
## 3036 married highskill husband white male
## 3037 widowed highskill single_occ white female
## 3038 divorce clerical depchild white female
## 3039 married midskill husband white male
## 3040 married highskill husband white male
## 3041 notmarried highskill tenant black female
## 3042 notmarried highskill tenant white male
## 3043 married other husband white male
## 3044 notmarried clerical relative white female
## 3045 notmarried lowskill relative white male
## 3046 divorce midskill tenant white male
## 3047 divorce clerical tenant white male
## 3048 notmarried highskill tenant white male
## 3049 married agriculture husband white male
## 3050 married highskill husband white male
## 3051 married midskill husband white male
## 3052 divorce highskill single_occ white female
## 3053 married midskill husband white male
## 3054 married lowskill husband white male
## 3055 married highskill husband white male
## 3056 married midskill husband white male
## 3057 married highskill husband white male
## 3058 married highskill husband white male
## 3059 notmarried clerical depchild white female
## 3060 married midskill husband white male
## 3061 notmarried lowskill depchild white male
## 3062 divorce highskill tenant white female
## 3063 married midskill husband white male
## 3064 divorce lowskill tenant white male
## 3065 married highskill tenant Asian_Pac_Islander male
## 3066 widowed other tenant white male
## 3067 notmarried midskill depchild white male
## 3068 widowed clerical tenant white female
## 3069 divorce highskill tenant white male
## 3070 divorce lowskill single_occ black female
## 3071 notmarried highskill depchild white female
## 3072 married highskill husband white male
## 3073 notmarried other depchild black male
## 3074 notmarried midskill depchild black male
## 3075 notmarried highskill depchild white male
## 3076 notmarried highskill depchild white female
## 3077 married highskill husband white male
## 3078 married highskill husband white male
## 3079 notmarried lowskill depchild white male
## 3080 married highskill husband white male
## 3081 married highskill husband white male
## 3082 divorce midskill single_occ white female
## 3083 widowed highskill single_occ white male
## 3084 notmarried midskill depchild white male
## 3085 notmarried lowskill depchild white male
## 3086 notmarried agriculture depchild white male
## 3087 divorce midskill single_occ black female
## 3088 divorce clerical single_occ white female
## 3089 notmarried other depchild white male
## 3090 married highskill husband white male
## 3091 divorce clerical tenant white female
## 3092 married highskill husband white male
## 3093 married agriculture husband white male
## 3094 married highskill husband white male
## 3095 married highskill wife white female
## 3096 married highskill husband white male
## 3097 notmarried other single_occ black female
## 3098 notmarried highskill tenant white female
## 3099 divorce highskill single_occ white female
## 3100 notmarried highskill depchild white female
## 3101 married midskill husband white male
## 3102 married agriculture husband white male
## 3103 divorce midskill depchild white female
## 3104 notmarried lowskill depchild white female
## 3105 married highskill husband white male
## 3106 married highskill husband white male
## 3107 married highskill husband white male
## 3108 married highskill husband white male
## 3109 married highskill depchild white male
## 3110 notmarried highskill depchild white female
## 3111 notmarried highskill tenant Asian_Pac_Islander male
## 3112 married highskill husband white male
## 3113 notmarried clerical depchild white male
## 3114 married highskill husband white male
## 3115 notmarried lowskill depchild white male
## 3116 married highskill husband white male
## 3117 married highskill husband white male
## 3118 notmarried agriculture tenant white male
## 3119 notmarried agriculture tenant white male
## 3120 married other husband white male
## 3121 divorce clerical single_occ white female
## 3122 notmarried midskill depchild white male
## 3123 married clerical wife white female
## 3124 divorce clerical single_occ white female
## 3125 notmarried clerical depchild white female
## 3126 married highskill husband white male
## 3127 married clerical husband white male
## 3128 notmarried highskill depchild white male
## 3129 married midskill husband white male
## 3130 divorce highskill tenant white female
## 3131 divorce lowskill single_occ other female
## 3132 notmarried other depchild black male
## 3133 married midskill husband white male
## 3134 notmarried midskill depchild white male
## 3135 married highskill husband white male
## 3136 married midskill husband white male
## 3137 notmarried agriculture tenant white male
## 3138 married highskill husband white male
## 3139 divorce clerical single_occ white female
## 3140 notmarried clerical depchild white male
## 3141 married midskill husband white male
## 3142 married midskill husband white male
## 3143 married midskill husband white male
## 3144 married highskill husband black male
## 3145 married highskill husband white male
## 3146 married highskill husband white male
## 3147 divorce other tenant white female
## 3148 notmarried highskill tenant white female
## 3149 married highskill husband Asian_Pac_Islander male
## 3150 married highskill husband white male
## 3151 married lowskill husband white male
## 3152 notmarried highskill tenant white male
## 3153 married highskill husband white male
## 3154 married highskill husband white male
## 3155 married highskill husband white male
## 3156 married highskill husband white male
## 3157 notmarried highskill depchild white male
## 3158 married lowskill husband white male
## 3159 widowed midskill tenant black male
## 3160 married highskill husband white male
## 3161 divorce highskill single_occ white male
## 3162 notmarried midskill depchild black male
## 3163 notmarried midskill tenant white male
## 3164 married highskill wife white female
## 3165 married clerical husband white male
## 3166 married highskill wife white female
## 3167 married midskill husband white male
## 3168 married highskill husband white male
## 3169 married highskill husband white male
## 3170 married midskill husband white male
## 3171 notmarried clerical depchild white female
## 3172 married highskill husband white male
## 3173 notmarried highskill tenant white male
## 3174 married lowskill wife white female
## 3175 married highskill husband white male
## 3176 divorce highskill tenant white male
## 3177 married clerical wife white female
## 3178 notmarried lowskill depchild white male
## 3179 married lowskill single_occ white female
## 3180 notmarried lowskill tenant black female
## 3181 married highskill husband white male
## 3182 notmarried midskill depchild white male
## 3183 notmarried midskill single_occ white male
## 3184 widowed highskill tenant white female
## 3185 notmarried highskill single_occ Asian_Pac_Islander female
## 3186 married highskill husband white male
## 3187 married highskill husband white male
## 3188 married lowskill tenant white female
## 3189 divorce highskill single_occ black female
## 3190 married midskill husband white male
## 3191 married midskill husband white male
## 3192 divorce midskill tenant black female
## 3193 notmarried lowskill tenant white female
## 3194 divorce midskill single_occ black female
## 3195 divorce lowskill depchild black male
## 3196 married highskill single_occ white male
## 3197 married agriculture relative white male
## 3198 married highskill husband white male
## 3199 married midskill wife white female
## 3200 married highskill husband Asian_Pac_Islander male
## 3201 notmarried highskill depchild white male
## 3202 notmarried midskill tenant white male
## 3203 notmarried highskill depchild Asian_Pac_Islander male
## 3204 married highskill wife white female
## 3205 widowed highskill single_occ white male
## 3206 notmarried midskill single_occ white male
## 3207 married highskill husband white male
## 3208 notmarried other depchild other male
## 3209 widowed midskill tenant white male
## 3210 widowed highskill tenant white female
## 3211 married lowskill husband white male
## 3212 widowed other tenant white male
## 3213 married highskill husband white male
## 3214 widowed lowskill tenant white male
## 3215 notmarried clerical depchild white male
## 3216 married midskill husband white male
## 3217 married agriculture husband white male
## 3218 married midskill husband white male
## 3219 married highskill husband white male
## 3220 divorce clerical single_occ white female
## 3221 divorce highskill tenant white male
## 3222 married lowskill husband white male
## 3223 notmarried midskill single_occ white male
## 3224 divorce clerical tenant black male
## 3225 married highskill wife white female
## 3226 married agriculture husband white male
## 3227 married midskill husband white male
## 3228 married highskill husband white male
## 3229 notmarried other depchild black male
## 3230 divorce midskill tenant white male
## 3231 married highskill wife black female
## 3232 married other husband white male
## 3233 divorce highskill tenant white male
## 3234 divorce midskill tenant white female
## 3235 notmarried lowskill single_occ black female
## 3236 married midskill husband white male
## 3237 married midskill tenant white male
## 3238 notmarried highskill depchild white male
## 3239 married highskill husband other male
## 3240 notmarried other depchild Asian_Pac_Islander female
## 3241 notmarried lowskill single_occ white female
## 3242 divorce lowskill tenant black male
## 3243 notmarried lowskill tenant white male
## 3244 notmarried midskill relative white male
## 3245 divorce highskill single_occ white male
## 3246 married highskill husband white male
## 3247 notmarried highskill tenant white male
## 3248 married clerical wife white female
## 3249 married highskill husband white male
## 3250 married highskill husband white male
## 3251 married clerical husband white male
## 3252 notmarried highskill depchild black female
## 3253 notmarried highskill tenant white female
## 3254 notmarried lowskill single_occ white male
## 3255 married midskill husband white male
## 3256 divorce other tenant white male
## 3257 married highskill husband white male
## 3258 divorce midskill depchild white male
## 3259 notmarried lowskill depchild white male
## 3260 divorce highskill single_occ white female
## 3261 married highskill husband white male
## 3262 notmarried midskill tenant white male
## 3263 married midskill husband white male
## 3264 notmarried clerical tenant white female
## 3265 divorce highskill tenant white male
## 3266 married highskill husband white male
## 3267 married highskill husband white male
## 3268 married highskill husband white male
## 3269 notmarried highskill tenant black male
## 3270 married other wife black female
## 3271 widowed lowskill tenant white female
## 3272 married highskill husband white male
## 3273 notmarried midskill tenant white male
## 3274 married midskill husband white male
## 3275 married highskill husband white male
## 3276 divorce clerical single_occ white female
## 3277 notmarried highskill tenant white female
## 3278 married midskill husband white male
## 3279 married midskill husband white male
## 3280 divorce highskill single_occ white female
## 3281 notmarried midskill tenant white male
## 3282 notmarried highskill tenant white male
## 3283 notmarried agriculture relative white male
## 3284 divorce lowskill relative white female
## 3285 married clerical husband white male
## 3286 notmarried lowskill depchild white male
## 3287 notmarried lowskill tenant white male
## 3288 married agriculture husband white male
## 3289 married midskill husband white male
## 3290 married midskill husband white male
## 3291 divorce highskill single_occ white female
## 3292 married other husband white male
## 3293 married highskill husband white male
## 3294 married highskill husband white male
## 3295 divorce highskill single_occ white female
## 3296 notmarried highskill tenant white female
## 3297 married midskill husband white male
## 3298 married other husband white male
## 3299 notmarried lowskill single_occ black female
## 3300 notmarried highskill tenant white female
## 3301 divorce clerical single_occ white female
## 3302 divorce midskill relative white female
## 3303 married clerical husband white male
## 3304 married lowskill husband white male
## 3305 divorce clerical single_occ white female
## 3306 divorce highskill tenant white male
## 3307 notmarried highskill tenant white male
## 3308 divorce clerical tenant white female
## 3309 married lowskill husband black male
## 3310 married clerical husband white male
## 3311 notmarried highskill tenant white female
## 3312 married highskill husband white male
## 3313 married agriculture husband white male
## 3314 notmarried highskill depchild white female
## 3315 notmarried midskill tenant black male
## 3316 widowed highskill tenant white female
## 3317 notmarried highskill tenant black male
## 3318 married highskill husband white male
## 3319 married highskill husband white male
## 3320 notmarried midskill depchild white male
## 3321 notmarried clerical depchild white female
## 3322 married highskill husband white male
## 3323 married midskill husband white male
## 3324 married midskill husband white male
## 3325 widowed highskill tenant white female
## 3326 divorce clerical single_occ white female
## 3327 divorce agriculture tenant white female
## 3328 married highskill husband white male
## 3329 married highskill husband white male
## 3330 divorce clerical single_occ white female
## 3331 notmarried other tenant white male
## 3332 notmarried highskill relative white male
## 3333 divorce clerical single_occ white female
## 3334 married midskill husband white male
## 3335 notmarried lowskill depchild black male
## 3336 divorce midskill tenant white female
## 3337 married clerical wife white female
## 3338 married highskill husband white male
## 3339 widowed other tenant black female
## 3340 widowed midskill single_occ white female
## 3341 divorce lowskill tenant white male
## 3342 divorce clerical single_occ white female
## 3343 divorce lowskill single_occ white female
## 3344 married highskill husband other male
## 3345 notmarried clerical depchild white male
## 3346 notmarried midskill tenant black female
## 3347 divorce clerical single_occ white female
## 3348 married midskill relative white male
## 3349 married midskill husband white male
## 3350 married highskill wife white female
## 3351 married agriculture tenant other male
## 3352 notmarried other tenant white female
## 3353 married clerical wife white female
## 3354 married midskill husband white male
## 3355 notmarried lowskill single_occ white male
## 3356 notmarried highskill tenant white male
## 3357 notmarried clerical depchild white female
## 3358 notmarried clerical depchild white female
## 3359 married clerical husband white male
## 3360 notmarried highskill tenant white male
## 3361 married highskill wife white female
## 3362 notmarried lowskill relative white female
## 3363 notmarried lowskill depchild black female
## 3364 married highskill husband white male
## 3365 notmarried clerical depchild white female
## 3366 married highskill husband white male
## 3367 married midskill husband white male
## 3368 married highskill husband white male
## 3369 married highskill husband white male
## 3370 married highskill husband white male
## 3371 married highskill husband white male
## 3372 notmarried other depchild white male
## 3373 divorce lowskill depchild white female
## 3374 divorce highskill single_occ white female
## 3375 married midskill husband white male
## 3376 married midskill husband white male
## 3377 married midskill husband black male
## 3378 married highskill husband white male
## 3379 married midskill husband white male
## 3380 divorce clerical single_occ white female
## 3381 notmarried midskill single_occ other male
## 3382 married highskill husband white male
## 3383 married midskill husband white male
## 3384 married midskill husband white male
## 3385 married midskill wife black female
## 3386 married midskill husband white male
## 3387 married highskill husband white male
## 3388 married other tenant white male
## 3389 married agriculture husband white male
## 3390 married highskill husband white male
## 3391 widowed highskill single_occ white male
## 3392 notmarried lowskill depchild white female
## 3393 married highskill husband white male
## 3394 married agriculture husband white male
## 3395 notmarried lowskill depchild white female
## 3396 divorce highskill tenant white male
## 3397 notmarried highskill tenant white female
## 3398 notmarried midskill depchild black male
## 3399 married highskill husband white male
## 3400 married midskill husband black male
## 3401 married midskill husband white male
## 3402 married midskill husband white male
## 3403 married other husband black male
## 3404 notmarried agriculture tenant white male
## 3405 married clerical husband white male
## 3406 married highskill husband white male
## 3407 married midskill husband native male
## 3408 married highskill husband white male
## 3409 married highskill husband white male
## 3410 divorce lowskill single_occ black female
## 3411 married highskill husband white male
## 3412 notmarried midskill tenant black female
## 3413 married midskill husband white male
## 3414 married highskill husband white male
## 3415 married midskill husband white male
## 3416 married midskill husband white male
## 3417 divorce highskill single_occ white male
## 3418 notmarried highskill tenant white female
## 3419 married highskill husband white male
## 3420 notmarried highskill tenant white male
## 3421 notmarried lowskill tenant white male
## 3422 divorce clerical tenant white female
## 3423 divorce lowskill tenant white female
## 3424 married highskill tenant white male
## 3425 married agriculture husband white male
## 3426 notmarried lowskill depchild white male
## 3427 divorce highskill tenant white male
## 3428 married highskill husband white male
## 3429 married highskill husband white male
## 3430 notmarried midskill depchild white female
## 3431 married highskill wife white female
## 3432 notmarried highskill depchild white female
## 3433 married midskill husband white male
## 3434 married highskill husband white male
## 3435 divorce lowskill tenant white female
## 3436 married midskill husband white male
## 3437 married midskill husband white male
## 3438 married midskill husband white male
## 3439 married midskill husband white male
## 3440 divorce other tenant white female
## 3441 notmarried highskill tenant white male
## 3442 notmarried lowskill tenant white male
## 3443 married midskill husband black male
## 3444 notmarried lowskill relative native male
## 3445 divorce highskill tenant white male
## 3446 married highskill husband white male
## 3447 married agriculture husband white male
## 3448 married midskill husband white male
## 3449 married highskill husband white male
## 3450 notmarried highskill tenant white female
## 3451 divorce highskill depchild white male
## 3452 married highskill wife white female
## 3453 notmarried clerical depchild white female
## 3454 notmarried other relative other female
## 3455 divorce highskill single_occ black female
## 3456 notmarried midskill depchild white male
## 3457 notmarried other depchild white female
## 3458 notmarried highskill depchild white female
## 3459 married highskill husband white male
## 3460 notmarried other single_occ white female
## 3461 married midskill husband white male
## 3462 widowed lowskill single_occ white female
## 3463 divorce midskill tenant white male
## 3464 notmarried highskill depchild white male
## 3465 married clerical husband white male
## 3466 notmarried highskill tenant white male
## 3467 married highskill husband white male
## 3468 married midskill husband white male
## 3469 married highskill wife white female
## 3470 married highskill husband white male
## 3471 married highskill husband white male
## 3472 married midskill husband white male
## 3473 notmarried highskill depchild white female
## 3474 notmarried lowskill depchild white male
## 3475 divorce highskill single_occ white female
## 3476 married highskill husband white male
## 3477 notmarried highskill depchild white male
## 3478 married midskill husband black male
## 3479 notmarried highskill single_occ white female
## 3480 notmarried highskill tenant white female
## 3481 married highskill husband white male
## 3482 notmarried lowskill tenant white female
## 3483 divorce highskill single_occ white female
## 3484 married highskill husband white male
## 3485 notmarried midskill depchild black male
## 3486 married highskill husband white male
## 3487 notmarried other tenant black female
## 3488 notmarried midskill tenant white female
## 3489 notmarried highskill tenant white female
## 3490 married highskill wife white female
## 3491 married lowskill husband white male
## 3492 notmarried clerical single_occ white female
## 3493 married highskill husband white male
## 3494 married lowskill wife white female
## 3495 notmarried highskill tenant white female
## 3496 notmarried lowskill depchild black male
## 3497 notmarried lowskill relative black male
## 3498 married midskill husband white male
## 3499 married lowskill husband white male
## 3500 married highskill husband white male
## 3501 married highskill husband white male
## 3502 notmarried highskill single_occ white female
## 3503 married midskill husband white male
## 3504 divorce highskill single_occ white female
## 3505 notmarried highskill tenant white female
## 3506 married highskill husband white male
## 3507 divorce clerical depchild white male
## 3508 notmarried highskill tenant white male
## 3509 married midskill husband white male
## 3510 notmarried highskill depchild white female
## 3511 widowed highskill tenant white female
## 3512 divorce midskill single_occ white female
## 3513 notmarried clerical depchild white female
## 3514 notmarried highskill tenant white male
## 3515 divorce highskill single_occ white female
## 3516 divorce highskill tenant white female
## 3517 notmarried other depchild white female
## 3518 married midskill husband white male
## 3519 married highskill husband white male
## 3520 divorce lowskill single_occ white female
## 3521 married midskill husband white male
## 3522 married midskill husband white male
## 3523 married midskill husband white male
## 3524 married highskill husband white male
## 3525 notmarried lowskill depchild white male
## 3526 married midskill husband white male
## 3527 notmarried clerical depchild black male
## 3528 married lowskill husband white male
## 3529 notmarried lowskill depchild white male
## 3530 divorce midskill tenant black female
## 3531 married highskill husband white male
## 3532 divorce other single_occ white female
## 3533 notmarried agriculture tenant white male
## 3534 married midskill husband white male
## 3535 notmarried lowskill depchild white male
## 3536 notmarried lowskill relative black male
## 3537 married highskill husband white male
## 3538 widowed clerical tenant white female
## 3539 married highskill husband white male
## 3540 married midskill husband white male
## 3541 married highskill husband white male
## 3542 married agriculture husband white male
## 3543 notmarried highskill tenant white female
## 3544 married clerical wife white female
## 3545 divorce clerical single_occ white female
## 3546 divorce highskill tenant white female
## 3547 notmarried lowskill depchild black female
## 3548 married midskill husband white male
## 3549 notmarried highskill single_occ black female
## 3550 notmarried highskill depchild white female
## 3551 married highskill husband white male
## 3552 notmarried highskill tenant black male
## 3553 married midskill husband white male
## 3554 divorce highskill tenant white female
## 3555 notmarried highskill single_occ white female
## 3556 notmarried other tenant other female
## 3557 divorce highskill tenant white female
## 3558 notmarried clerical tenant Asian_Pac_Islander male
## 3559 notmarried highskill depchild white female
## 3560 divorce highskill tenant black male
## 3561 divorce lowskill tenant white female
## 3562 married agriculture husband white male
## 3563 notmarried midskill tenant white male
## 3564 divorce midskill tenant white male
## 3565 married highskill husband white male
## 3566 divorce lowskill single_occ white female
## 3567 notmarried highskill tenant white male
## 3568 married midskill husband white male
## 3569 married midskill husband white male
## 3570 notmarried highskill tenant white female
## 3571 married midskill husband white male
## 3572 married midskill husband white male
## 3573 notmarried other depchild white female
## 3574 notmarried other tenant white male
## 3575 married highskill husband white male
## 3576 married highskill husband white male
## 3577 notmarried lowskill depchild white female
## 3578 married highskill husband white male
## 3579 married highskill husband black male
## 3580 notmarried other tenant Asian_Pac_Islander male
## 3581 married midskill husband white male
## 3582 married midskill single_occ white male
## 3583 married lowskill husband white male
## 3584 married highskill husband white male
## 3585 notmarried highskill tenant white female
## 3586 notmarried lowskill relative white male
## 3587 notmarried highskill tenant white female
## 3588 divorce highskill single_occ white female
## 3589 widowed other tenant white female
## 3590 notmarried highskill depchild native female
## 3591 notmarried highskill tenant white male
## 3592 notmarried highskill depchild white female
## 3593 widowed other tenant white female
## 3594 married agriculture wife white female
## 3595 married other wife white female
## 3596 married lowskill wife white female
## 3597 notmarried clerical depchild black female
## 3598 notmarried other depchild white male
## 3599 divorce clerical tenant native female
## 3600 married highskill husband white male
## 3601 divorce lowskill tenant white female
## 3602 notmarried highskill tenant white male
## 3603 married highskill husband white male
## 3604 married midskill husband white male
## 3605 married highskill husband white male
## 3606 notmarried lowskill depchild native female
## 3607 married midskill husband white male
## 3608 divorce midskill tenant white male
## 3609 notmarried midskill depchild black female
## 3610 notmarried highskill tenant white female
## 3611 married clerical husband white male
## 3612 married highskill wife white female
## 3613 married highskill husband black male
## 3614 notmarried clerical depchild black female
## 3615 married midskill husband white male
## 3616 divorce highskill depchild white female
## 3617 notmarried highskill tenant white male
## 3618 divorce agriculture single_occ white male
## 3619 notmarried lowskill depchild white male
## 3620 married highskill husband white male
## 3621 divorce clerical relative white female
## 3622 notmarried highskill tenant white male
## 3623 notmarried lowskill tenant white female
## 3624 married midskill husband white male
## 3625 widowed clerical tenant white female
## 3626 married highskill husband white male
## 3627 married clerical wife white female
## 3628 married highskill husband Asian_Pac_Islander male
## 3629 notmarried highskill relative white female
## 3630 married highskill husband white male
## 3631 divorce highskill single_occ white female
## 3632 married other husband white male
## 3633 notmarried clerical depchild white female
## 3634 widowed highskill tenant white female
## 3635 divorce midskill tenant white male
## 3636 married midskill husband other male
## 3637 married midskill husband Asian_Pac_Islander male
## 3638 divorce clerical single_occ white female
## 3639 notmarried midskill tenant white male
## 3640 married highskill husband white male
## 3641 notmarried midskill tenant white male
## 3642 notmarried midskill single_occ white female
## 3643 married midskill husband white male
## 3644 married midskill husband white male
## 3645 married midskill husband white male
## 3646 notmarried lowskill depchild white female
## 3647 married highskill wife white female
## 3648 married midskill wife Asian_Pac_Islander female
## 3649 notmarried highskill tenant white female
## 3650 notmarried lowskill depchild white male
## 3651 notmarried clerical depchild black male
## 3652 married highskill husband white male
## 3653 married highskill husband black male
## 3654 divorce midskill depchild white male
## 3655 married midskill husband white male
## 3656 married highskill husband white male
## 3657 married midskill husband white male
## 3658 married lowskill husband Asian_Pac_Islander male
## 3659 notmarried highskill depchild black female
## 3660 married lowskill husband white male
## 3661 married midskill husband white male
## 3662 notmarried clerical tenant white female
## 3663 notmarried agriculture tenant white male
## 3664 married midskill husband white male
## 3665 married highskill husband white male
## 3666 notmarried highskill tenant black male
## 3667 married highskill husband white male
## 3668 divorce highskill single_occ white female
## 3669 married midskill husband white male
## 3670 married midskill husband white male
## 3671 divorce other depchild white male
## 3672 married highskill husband white male
## 3673 married highskill husband other male
## 3674 married midskill husband white male
## 3675 married highskill husband white male
## 3676 notmarried lowskill relative white male
## 3677 married midskill husband native male
## 3678 divorce highskill tenant white female
## 3679 married clerical husband white male
## 3680 notmarried highskill depchild white female
## 3681 married highskill husband black male
## 3682 notmarried highskill depchild white male
## 3683 married highskill husband black male
## 3684 divorce clerical tenant white female
## 3685 married highskill husband white male
## 3686 married midskill husband white male
## 3687 notmarried lowskill relative white female
## 3688 notmarried lowskill relative white male
## 3689 divorce lowskill tenant white male
## 3690 married highskill husband white male
## 3691 married midskill husband white male
## 3692 married midskill husband white male
## 3693 married midskill husband white male
## 3694 married clerical wife white female
## 3695 married lowskill husband white male
## 3696 divorce highskill single_occ white female
## 3697 notmarried midskill relative white female
## 3698 married highskill husband white male
## 3699 married highskill husband white male
## 3700 divorce midskill tenant white male
## 3701 married highskill husband white male
## 3702 married lowskill husband white male
## 3703 notmarried midskill tenant black male
## 3704 married other husband white male
## 3705 divorce highskill tenant white female
## 3706 married midskill husband white male
## 3707 notmarried lowskill relative black male
## 3708 married midskill husband native male
## 3709 married clerical husband Asian_Pac_Islander male
## 3710 married highskill wife white female
## 3711 notmarried clerical tenant white male
## 3712 married agriculture husband white male
## 3713 notmarried clerical depchild white female
## 3714 divorce highskill depchild white male
## 3715 married highskill relative Asian_Pac_Islander female
## 3716 notmarried clerical depchild Asian_Pac_Islander male
## 3717 married highskill husband black male
## 3718 notmarried highskill depchild white male
## 3719 notmarried lowskill depchild white female
## 3720 notmarried clerical depchild white male
## 3721 married midskill husband white male
## 3722 married highskill husband white male
## 3723 notmarried clerical single_occ white male
## 3724 married highskill husband white male
## 3725 married highskill husband white male
## 3726 notmarried other depchild white male
## 3727 married clerical wife white female
## 3728 married highskill wife white female
## 3729 married midskill husband white male
## 3730 notmarried highskill single_occ native female
## 3731 notmarried clerical tenant white female
## 3732 married midskill husband white male
## 3733 married midskill husband white male
## 3734 married highskill wife white female
## 3735 notmarried highskill depchild white female
## 3736 married clerical husband white male
## 3737 married other wife white female
## 3738 notmarried lowskill relative black male
## 3739 married midskill husband white male
## 3740 married lowskill husband white male
## 3741 married lowskill husband white male
## 3742 married clerical husband white male
## 3743 divorce midskill tenant white male
## 3744 divorce highskill tenant other female
## 3745 notmarried other depchild white male
## 3746 married agriculture husband white male
## 3747 divorce lowskill single_occ black female
## 3748 divorce other single_occ white female
## 3749 married midskill husband white male
## 3750 married clerical husband white male
## 3751 divorce highskill tenant white female
## 3752 married highskill husband white male
## 3753 married midskill husband white male
## 3754 notmarried clerical tenant Asian_Pac_Islander female
## 3755 married highskill husband white male
## 3756 notmarried highskill relative black male
## 3757 divorce clerical single_occ white female
## 3758 married agriculture wife white female
## 3759 married midskill husband white male
## 3760 married other husband white male
## 3761 married midskill husband white male
## 3762 notmarried highskill tenant white female
## 3763 notmarried lowskill tenant black female
## 3764 notmarried clerical tenant white male
## 3765 notmarried lowskill depchild white male
## 3766 divorce highskill single_occ black female
## 3767 married highskill husband white male
## 3768 notmarried clerical single_occ black female
## 3769 married lowskill husband white male
## 3770 notmarried lowskill tenant white female
## 3771 notmarried highskill single_occ white female
## 3772 divorce lowskill depchild white female
## 3773 married midskill husband white male
## 3774 widowed other tenant white female
## 3775 married highskill husband white male
## 3776 notmarried other depchild white female
## 3777 divorce clerical tenant white female
## 3778 notmarried highskill tenant white male
## 3779 married highskill husband white male
## 3780 divorce midskill single_occ white male
## 3781 divorce clerical single_occ white female
## 3782 notmarried clerical tenant white female
## 3783 widowed midskill tenant white male
## 3784 married highskill husband white male
## 3785 married midskill husband white male
## 3786 notmarried midskill tenant white male
## 3787 married highskill husband white male
## 3788 married highskill husband white male
## 3789 married highskill husband white male
## 3790 married highskill husband white male
## 3791 divorce highskill tenant white male
## 3792 notmarried highskill depchild black male
## 3793 married clerical husband white male
## 3794 notmarried lowskill depchild white male
## 3795 notmarried midskill tenant white male
## 3796 married midskill husband white male
## 3797 notmarried midskill tenant white male
## 3798 married midskill husband white male
## 3799 notmarried highskill relative white male
## 3800 married midskill husband white male
## 3801 married highskill husband white male
## 3802 notmarried lowskill depchild white male
## 3803 notmarried clerical depchild white male
## 3804 notmarried lowskill depchild white male
## 3805 notmarried lowskill relative white male
## 3806 notmarried other depchild white female
## 3807 married highskill husband white male
## 3808 notmarried highskill depchild white female
## 3809 married highskill husband white male
## 3810 married highskill husband white male
## 3811 notmarried highskill tenant black female
## 3812 divorce highskill single_occ white female
## 3813 married highskill husband Asian_Pac_Islander male
## 3814 divorce highskill tenant white female
## 3815 notmarried highskill tenant white female
## 3816 notmarried lowskill depchild white female
## 3817 married highskill relative white male
## 3818 married highskill husband white male
## 3819 married midskill husband white male
## 3820 notmarried clerical tenant white female
## 3821 notmarried agriculture single_occ white male
## 3822 married lowskill wife native female
## 3823 divorce other tenant white female
## 3824 divorce midskill tenant white male
## 3825 notmarried agriculture depchild white male
## 3826 notmarried midskill depchild black male
## 3827 married agriculture husband white male
## 3828 married midskill husband white male
## 3829 notmarried midskill tenant white male
## 3830 married highskill husband white male
## 3831 married lowskill husband white male
## 3832 married highskill husband white male
## 3833 married midskill husband Asian_Pac_Islander male
## 3834 married highskill husband white male
## 3835 notmarried other tenant white female
## 3836 notmarried lowskill tenant white female
## 3837 married highskill husband white male
## 3838 divorce highskill tenant white male
## 3839 married highskill husband native male
## 3840 notmarried midskill tenant white male
## 3841 married clerical husband white male
## 3842 divorce midskill single_occ white female
## 3843 divorce clerical single_occ black female
## 3844 notmarried other depchild native male
## 3845 notmarried highskill depchild white male
## 3846 married clerical husband white male
## 3847 divorce clerical tenant white female
## 3848 married highskill wife white female
## 3849 divorce highskill single_occ white male
## 3850 notmarried highskill tenant white female
## 3851 married highskill husband white male
## 3852 notmarried other depchild white male
## 3853 notmarried lowskill depchild white female
## 3854 notmarried lowskill tenant white male
## 3855 married lowskill husband white male
## 3856 notmarried highskill tenant white female
## 3857 notmarried clerical tenant Asian_Pac_Islander male
## 3858 divorce highskill tenant white female
## 3859 notmarried highskill single_occ black female
## 3860 divorce highskill single_occ white female
## 3861 married highskill husband white male
## 3862 divorce midskill single_occ black male
## 3863 married highskill husband white male
## 3864 married other husband white male
## 3865 married midskill husband black male
## 3866 married highskill wife white female
## 3867 married midskill husband white male
## 3868 married lowskill husband white male
## 3869 notmarried midskill tenant white male
## 3870 notmarried highskill tenant white female
## 3871 married lowskill husband white male
## 3872 married highskill husband black male
## 3873 married midskill husband white male
## 3874 notmarried highskill tenant white female
## 3875 notmarried highskill depchild white male
## 3876 divorce lowskill tenant white male
## 3877 married midskill husband white male
## 3878 divorce highskill single_occ white male
## 3879 married highskill husband white male
## 3880 married midskill wife Asian_Pac_Islander female
## 3881 married highskill husband white male
## 3882 widowed highskill tenant white female
## 3883 married highskill husband white male
## 3884 married midskill husband white male
## 3885 married highskill husband white male
## 3886 divorce highskill depchild white female
## 3887 married highskill husband white male
## 3888 married other wife white female
## 3889 divorce midskill single_occ white male
## 3890 married midskill husband black male
## 3891 divorce clerical depchild white male
## 3892 notmarried midskill depchild white male
## 3893 married highskill husband white male
## 3894 divorce highskill tenant white male
## 3895 married clerical husband white male
## 3896 married other wife white female
## 3897 divorce highskill single_occ white female
## 3898 notmarried other depchild black male
## 3899 notmarried lowskill depchild white male
## 3900 notmarried midskill relative black male
## 3901 married highskill husband white male
## 3902 notmarried other depchild white male
## 3903 notmarried other depchild white male
## 3904 notmarried lowskill tenant white male
## 3905 married clerical husband white male
## 3906 married lowskill husband white male
## 3907 married highskill husband black male
## 3908 notmarried clerical tenant white male
## 3909 married lowskill husband black male
## 3910 married highskill husband Asian_Pac_Islander male
## 3911 divorce highskill single_occ white female
## 3912 married midskill husband white male
## 3913 married highskill husband white male
## 3914 married highskill husband white male
## 3915 married midskill husband white male
## 3916 married midskill husband white male
## 3917 notmarried other tenant white male
## 3918 notmarried lowskill depchild white male
## 3919 married highskill husband white male
## 3920 notmarried midskill depchild white male
## 3921 married highskill husband black male
## 3922 divorce midskill tenant white male
## 3923 notmarried clerical depchild white female
## 3924 married lowskill husband black male
## 3925 married clerical husband white male
## 3926 married highskill husband white male
## 3927 divorce highskill tenant white male
## 3928 married highskill husband white male
## 3929 married lowskill husband white male
## 3930 married midskill husband white male
## 3931 notmarried highskill depchild white female
## 3932 widowed lowskill single_occ black male
## 3933 married midskill husband white male
## 3934 married midskill husband white male
## 3935 divorce highskill tenant white female
## 3936 notmarried highskill depchild white female
## 3937 divorce clerical single_occ white female
## 3938 divorce highskill tenant white female
## 3939 divorce midskill single_occ white male
## 3940 married midskill husband white male
## 3941 notmarried highskill tenant black female
## 3942 married midskill husband white male
## 3943 notmarried other depchild white male
## 3944 notmarried clerical single_occ white female
## 3945 married midskill husband white male
## 3946 married highskill husband white male
## 3947 notmarried highskill tenant white male
## 3948 divorce other tenant black female
## 3949 married highskill husband white male
## 3950 divorce other single_occ white female
## 3951 divorce other single_occ white female
## 3952 notmarried highskill tenant white male
## 3953 married highskill husband white male
## 3954 married midskill husband black male
## 3955 married highskill husband white male
## 3956 notmarried midskill relative white female
## 3957 divorce highskill tenant white female
## 3958 divorce highskill tenant white female
## 3959 married midskill husband black male
## 3960 married midskill husband white male
## 3961 divorce highskill single_occ white male
## 3962 married midskill husband white male
## 3963 married midskill husband white male
## 3964 widowed other tenant white female
## 3965 married highskill husband white male
## 3966 married midskill wife white female
## 3967 married highskill wife white female
## 3968 married midskill husband white male
## 3969 married midskill husband white male
## 3970 divorce other tenant white male
## 3971 notmarried clerical tenant white male
## 3972 divorce lowskill tenant white male
## 3973 notmarried lowskill depchild white male
## 3974 notmarried clerical depchild black female
## 3975 divorce clerical tenant white female
## 3976 notmarried highskill tenant white female
## 3977 married agriculture husband white male
## 3978 notmarried clerical depchild white male
## 3979 married highskill husband white male
## 3980 divorce highskill tenant white male
## 3981 married other husband black male
## 3982 notmarried midskill tenant white male
## 3983 divorce highskill single_occ white female
## 3984 married highskill husband white male
## 3985 divorce lowskill tenant black male
## 3986 notmarried lowskill depchild black male
## 3987 divorce clerical tenant white female
## 3988 married lowskill husband Asian_Pac_Islander male
## 3989 married midskill husband white male
## 3990 notmarried highskill depchild white male
## 3991 widowed other tenant white female
## 3992 notmarried clerical depchild white male
## 3993 divorce midskill relative white male
## 3994 married highskill depchild Asian_Pac_Islander female
## 3995 divorce highskill tenant white female
## 3996 notmarried clerical single_occ white female
## 3997 notmarried lowskill tenant black female
## 3998 married midskill husband white male
## 3999 married midskill husband white male
## 4000 married midskill husband white male
## 4001 married highskill husband white male
## 4002 notmarried midskill depchild white male
## 4003 notmarried highskill depchild white female
## 4004 notmarried other tenant white male
## 4005 notmarried highskill tenant white female
## 4006 married midskill husband white male
## 4007 notmarried highskill tenant Asian_Pac_Islander male
## 4008 divorce lowskill tenant white female
## 4009 married lowskill husband white male
## 4010 divorce highskill tenant white female
## 4011 notmarried clerical depchild white female
## 4012 notmarried highskill tenant white female
## 4013 married lowskill husband white male
## 4014 notmarried clerical depchild white female
## 4015 notmarried highskill depchild white male
## 4016 married highskill husband white male
## 4017 divorce midskill depchild white male
## 4018 married other husband white male
## 4019 married other husband white male
## 4020 notmarried highskill tenant white male
## 4021 divorce clerical single_occ white female
## 4022 notmarried other depchild white female
## 4023 divorce highskill depchild white female
## 4024 notmarried clerical relative white female
## 4025 married highskill husband white male
## 4026 married midskill husband white male
## 4027 notmarried highskill tenant black male
## 4028 married agriculture husband white male
## 4029 divorce lowskill tenant white female
## 4030 married highskill husband white male
## 4031 notmarried highskill tenant white male
## 4032 married highskill husband white male
## 4033 married midskill husband white male
## 4034 notmarried lowskill tenant black male
## 4035 notmarried midskill tenant white male
## 4036 divorce highskill single_occ white male
## 4037 notmarried highskill depchild white female
## 4038 divorce lowskill tenant white female
## 4039 divorce midskill depchild white male
## 4040 divorce midskill tenant white male
## 4041 notmarried highskill tenant white female
## 4042 divorce clerical single_occ black female
## 4043 married lowskill wife white female
## 4044 divorce lowskill tenant white female
## 4045 notmarried highskill depchild white female
## 4046 married midskill husband white male
## 4047 notmarried midskill relative black male
## 4048 widowed lowskill single_occ white female
## 4049 married midskill husband white male
## 4050 divorce midskill tenant native male
## 4051 married highskill husband white male
## 4052 notmarried highskill tenant black male
## 4053 divorce midskill tenant white male
## 4054 married midskill husband white male
## 4055 married highskill husband white male
## 4056 married highskill husband Asian_Pac_Islander male
## 4057 married lowskill husband white male
## 4058 notmarried clerical single_occ black female
## 4059 married midskill husband white male
## 4060 notmarried clerical depchild Asian_Pac_Islander female
## 4061 married highskill husband white male
## 4062 divorce highskill depchild white male
## 4063 notmarried highskill depchild white female
## 4064 divorce clerical tenant white female
## 4065 divorce highskill tenant white male
## 4066 married highskill husband white male
## 4067 married lowskill wife Asian_Pac_Islander female
## 4068 divorce lowskill tenant white female
## 4069 notmarried highskill depchild white male
## 4070 notmarried lowskill single_occ white female
## 4071 notmarried lowskill depchild white male
## 4072 divorce clerical single_occ white female
## 4073 notmarried other single_occ black female
## 4074 divorce highskill single_occ white female
## 4075 notmarried clerical tenant white female
## 4076 married highskill husband white male
## 4077 notmarried midskill depchild black female
## 4078 married highskill husband white male
## 4079 notmarried highskill depchild white male
## 4080 married highskill husband white male
## 4081 notmarried other depchild white male
## 4082 notmarried lowskill depchild white female
## 4083 married midskill husband white male
## 4084 divorce lowskill depchild white female
## 4085 divorce midskill single_occ white female
## 4086 divorce lowskill relative white female
## 4087 married other husband white male
## 4088 married highskill husband white male
## 4089 married highskill husband white male
## 4090 notmarried clerical depchild white male
## 4091 notmarried other depchild white female
## 4092 divorce midskill tenant white male
## 4093 notmarried highskill depchild white male
## 4094 married highskill husband white male
## 4095 married midskill husband white male
## 4096 married highskill husband white male
## 4097 married lowskill husband white male
## 4098 married highskill husband white male
## 4099 notmarried lowskill depchild white male
## 4100 married midskill husband white male
## 4101 notmarried midskill single_occ white male
## 4102 married lowskill husband white male
## 4103 married midskill husband black male
## 4104 notmarried lowskill tenant white male
## 4105 married highskill husband white male
## 4106 divorce lowskill tenant white male
## 4107 notmarried highskill tenant white female
## 4108 married lowskill tenant white male
## 4109 notmarried highskill tenant Asian_Pac_Islander male
## 4110 widowed other relative white female
## 4111 notmarried clerical tenant white female
## 4112 divorce midskill tenant white male
## 4113 divorce highskill single_occ native female
## 4114 notmarried lowskill tenant white female
## 4115 notmarried clerical tenant white female
## 4116 married highskill husband white male
## 4117 married midskill husband white male
## 4118 notmarried highskill depchild white male
## 4119 notmarried highskill tenant white male
## 4120 married midskill husband white male
## 4121 divorce clerical tenant white female
## 4122 married clerical husband white male
## 4123 married midskill husband white male
## 4124 divorce lowskill depchild white female
## 4125 notmarried highskill tenant white male
## 4126 married midskill husband white male
## 4127 married highskill husband black male
## 4128 married highskill husband white male
## 4129 notmarried highskill depchild white female
## 4130 notmarried lowskill tenant white female
## 4131 notmarried midskill single_occ white male
## 4132 married highskill husband white male
## 4133 married agriculture husband white male
## 4134 married midskill husband white male
## 4135 divorce clerical single_occ white female
## 4136 notmarried clerical single_occ black female
## 4137 married highskill husband white male
## 4138 married midskill husband white male
## 4139 notmarried clerical depchild white female
## 4140 notmarried lowskill depchild white male
## 4141 married highskill husband white male
## 4142 divorce midskill tenant white male
## 4143 notmarried clerical tenant white female
## 4144 married highskill husband white male
## 4145 divorce midskill single_occ white female
## 4146 married highskill wife white female
## 4147 married midskill husband white male
## 4148 married other husband white male
## 4149 married agriculture husband white male
## 4150 notmarried lowskill depchild white male
## 4151 divorce clerical tenant white male
## 4152 divorce highskill single_occ white female
## 4153 notmarried other depchild white male
## 4154 notmarried highskill tenant white male
## 4155 married highskill husband white male
## 4156 notmarried other relative black male
## 4157 notmarried clerical depchild white female
## 4158 divorce lowskill tenant white male
## 4159 divorce lowskill single_occ white female
## 4160 married highskill husband black male
## 4161 married midskill depchild white male
## 4162 married midskill husband white male
## 4163 married midskill husband white male
## 4164 married highskill single_occ white male
## 4165 married lowskill wife white female
## 4166 married highskill wife white female
## 4167 notmarried lowskill depchild white female
## 4168 married highskill husband white male
## 4169 notmarried lowskill tenant Asian_Pac_Islander female
## 4170 married other wife native female
## 4171 married highskill husband white male
## 4172 divorce lowskill single_occ white female
## 4173 married highskill husband white male
## 4174 notmarried agriculture depchild white female
## 4175 notmarried other depchild white female
## 4176 divorce lowskill tenant white male
## 4177 married midskill husband white male
## 4178 married highskill husband white male
## 4179 married clerical husband white male
## 4180 notmarried highskill tenant white female
## 4181 notmarried midskill depchild black male
## 4182 widowed lowskill tenant white female
## 4183 married highskill husband white male
## 4184 notmarried midskill tenant white male
## 4185 notmarried highskill depchild white male
## 4186 married clerical husband white male
## 4187 married midskill husband white male
## 4188 divorce midskill single_occ white female
## 4189 married midskill husband white male
## 4190 married highskill husband white male
## 4191 notmarried midskill tenant black male
## 4192 notmarried midskill tenant black female
## 4193 married midskill husband white male
## 4194 notmarried highskill depchild white male
## 4195 notmarried midskill depchild white male
## 4196 notmarried midskill tenant white male
## 4197 married highskill husband white male
## 4198 married highskill husband Asian_Pac_Islander male
## 4199 married midskill wife white female
## 4200 notmarried lowskill tenant white female
## 4201 notmarried other depchild white male
## 4202 married midskill husband white male
## 4203 divorce highskill tenant white female
## 4204 divorce highskill tenant white male
## 4205 notmarried agriculture tenant white male
## 4206 notmarried lowskill depchild white female
## 4207 widowed midskill tenant white female
## 4208 divorce highskill tenant white female
## 4209 notmarried highskill tenant white female
## 4210 notmarried highskill depchild white female
## 4211 married highskill husband white male
## 4212 married agriculture husband white male
## 4213 notmarried other tenant white female
## 4214 notmarried midskill depchild white male
## 4215 divorce midskill tenant white male
## 4216 notmarried other tenant white female
## 4217 notmarried highskill relative black male
## 4218 notmarried other depchild white female
## 4219 notmarried highskill tenant white male
## 4220 notmarried highskill tenant white female
## 4221 notmarried clerical tenant white female
## 4222 divorce highskill single_occ white female
## 4223 divorce midskill tenant white male
## 4224 notmarried midskill depchild white male
## 4225 notmarried lowskill depchild white female
## 4226 divorce clerical tenant white male
## 4227 divorce lowskill single_occ white female
## 4228 notmarried lowskill tenant black male
## 4229 divorce clerical single_occ black female
## 4230 married midskill wife white female
## 4231 married midskill husband white male
## 4232 divorce highskill single_occ white male
## 4233 married highskill husband white male
## 4234 notmarried highskill tenant white female
## 4235 widowed highskill single_occ white female
## 4236 notmarried highskill tenant white male
## 4237 married highskill husband white male
## 4238 notmarried midskill depchild black male
## 4239 married highskill husband white male
## 4240 divorce highskill single_occ white female
## 4241 notmarried other tenant white male
## 4242 notmarried highskill tenant white male
## 4243 divorce midskill depchild white male
## 4244 notmarried midskill tenant white male
## 4245 married highskill husband white male
## 4246 notmarried midskill tenant black male
## 4247 married highskill wife white female
## 4248 notmarried lowskill depchild white male
## 4249 notmarried lowskill tenant black female
## 4250 married highskill husband white male
## 4251 notmarried midskill depchild white male
## 4252 divorce highskill tenant white female
## 4253 married midskill tenant white male
## 4254 divorce clerical single_occ black female
## 4255 notmarried lowskill tenant white male
## 4256 married highskill husband white male
## 4257 married clerical relative white female
## 4258 married midskill husband white male
## 4259 married midskill husband white male
## 4260 notmarried lowskill tenant white male
## 4261 divorce highskill tenant white male
## 4262 notmarried lowskill tenant white male
## 4263 notmarried clerical depchild Asian_Pac_Islander female
## 4264 married agriculture wife white female
## 4265 married highskill husband white male
## 4266 married highskill husband white male
## 4267 married highskill husband white male
## 4268 married midskill husband white male
## 4269 notmarried midskill tenant white male
## 4270 notmarried lowskill relative white male
## 4271 divorce clerical tenant white female
## 4272 married highskill husband white male
## 4273 notmarried other depchild white male
## 4274 widowed lowskill single_occ white female
## 4275 divorce highskill tenant white female
## 4276 married lowskill husband white male
## 4277 notmarried highskill tenant white female
## 4278 notmarried highskill depchild white male
## 4279 divorce clerical single_occ white male
## 4280 divorce highskill single_occ white female
## 4281 married lowskill husband white male
## 4282 widowed lowskill single_occ white female
## 4283 married highskill wife black female
## 4284 married lowskill husband white male
## 4285 notmarried midskill depchild white female
## 4286 married midskill husband white male
## 4287 notmarried clerical relative black female
## 4288 married midskill husband native male
## 4289 divorce other tenant white female
## 4290 notmarried highskill tenant white male
## 4291 married midskill husband white male
## 4292 married midskill husband white male
## 4293 notmarried highskill single_occ white female
## 4294 divorce highskill tenant white male
## 4295 notmarried highskill tenant white female
## 4296 married highskill husband black male
## 4297 notmarried lowskill depchild white male
## 4298 married highskill husband white male
## 4299 notmarried lowskill tenant white female
## 4300 notmarried other depchild white female
## 4301 notmarried highskill tenant white female
## 4302 notmarried agriculture single_occ white male
## 4303 married lowskill husband white male
## 4304 married midskill husband Asian_Pac_Islander male
## 4305 married midskill husband white male
## 4306 notmarried clerical depchild white male
## 4307 married highskill husband white male
## 4308 married midskill husband white male
## 4309 married agriculture husband white male
## 4310 widowed other tenant white female
## 4311 notmarried highskill depchild white female
## 4312 married highskill husband white male
## 4313 married highskill husband white male
## 4314 notmarried midskill depchild white male
## 4315 divorce highskill tenant white female
## 4316 married other husband white male
## 4317 widowed midskill tenant white female
## 4318 divorce clerical single_occ black male
## 4319 notmarried clerical tenant white female
## 4320 married highskill husband white male
## 4321 notmarried midskill depchild white male
## 4322 married clerical husband white male
## 4323 divorce highskill tenant white male
## 4324 notmarried midskill tenant white male
## 4325 divorce highskill depchild white female
## 4326 notmarried midskill tenant white male
## 4327 married midskill husband white male
## 4328 married highskill husband white male
## 4329 notmarried lowskill depchild white male
## 4330 divorce highskill tenant white male
## 4331 married highskill husband white male
## 4332 married highskill husband white male
## 4333 married highskill husband white male
## 4334 notmarried highskill tenant white male
## 4335 married highskill husband white male
## 4336 married highskill husband white male
## 4337 notmarried lowskill single_occ black female
## 4338 notmarried other depchild Asian_Pac_Islander male
## 4339 married highskill husband white male
## 4340 married highskill husband white male
## 4341 married clerical depchild white female
## 4342 married midskill husband white male
## 4343 notmarried highskill depchild white female
## 4344 married highskill husband white male
## 4345 married midskill husband white male
## 4346 married highskill husband white male
## 4347 notmarried clerical single_occ white female
## 4348 notmarried highskill single_occ black female
## 4349 divorce lowskill tenant native female
## 4350 married highskill husband white male
## 4351 notmarried lowskill depchild white male
## 4352 married midskill husband white male
## 4353 divorce midskill tenant white male
## 4354 married highskill wife white female
## 4355 married highskill husband white male
## 4356 married midskill husband white male
## 4357 divorce highskill single_occ white male
## 4358 notmarried midskill depchild white male
## 4359 notmarried clerical tenant white female
## 4360 notmarried highskill tenant white female
## 4361 notmarried highskill depchild white male
## 4362 married lowskill husband black male
## 4363 notmarried midskill tenant white female
## 4364 married midskill husband white male
## 4365 notmarried highskill single_occ white female
## 4366 married highskill husband white male
## 4367 married highskill husband white male
## 4368 married midskill husband Asian_Pac_Islander male
## 4369 married highskill wife white female
## 4370 notmarried other depchild white female
## 4371 married midskill husband white male
## 4372 married midskill husband white male
## 4373 notmarried highskill depchild white female
## 4374 notmarried clerical depchild white male
## 4375 married highskill husband white male
## 4376 notmarried midskill tenant white male
## 4377 married highskill husband white male
## 4378 married highskill husband white male
## 4379 married midskill wife white female
## 4380 notmarried highskill depchild white male
## 4381 married highskill husband white male
## 4382 married highskill tenant black male
## 4383 divorce midskill tenant black female
## 4384 notmarried highskill relative white female
## 4385 married midskill husband white male
## 4386 married midskill husband white male
## 4387 divorce midskill tenant black male
## 4388 divorce clerical tenant white female
## 4389 married midskill husband white male
## 4390 married midskill husband white male
## 4391 married highskill wife white female
## 4392 notmarried midskill relative white male
## 4393 married lowskill husband white male
## 4394 notmarried other depchild white male
## 4395 notmarried highskill tenant white male
## 4396 notmarried lowskill relative white male
## 4397 notmarried highskill tenant white female
## 4398 notmarried highskill tenant white female
## 4399 notmarried highskill depchild white male
## 4400 notmarried highskill depchild white female
## 4401 divorce lowskill single_occ white female
## 4402 married highskill wife white female
## 4403 notmarried highskill depchild white female
## 4404 married highskill husband Asian_Pac_Islander male
## 4405 married midskill husband white male
## 4406 married highskill husband white male
## 4407 notmarried clerical depchild white female
## 4408 married highskill husband white male
## 4409 married clerical husband white male
## 4410 notmarried other relative Asian_Pac_Islander female
## 4411 married midskill husband white male
## 4412 married highskill husband white male
## 4413 divorce lowskill depchild white female
## 4414 notmarried other depchild white female
## 4415 notmarried clerical tenant white female
## 4416 divorce midskill tenant white male
## 4417 notmarried clerical depchild white female
## 4418 married clerical husband white male
## 4419 widowed highskill single_occ white female
## 4420 notmarried lowskill relative white male
## 4421 divorce midskill single_occ black male
## 4422 married highskill husband white male
## 4423 widowed other tenant black female
## 4424 divorce midskill single_occ black male
## 4425 divorce highskill single_occ white female
## 4426 married midskill husband white male
## 4427 married midskill husband native male
## 4428 notmarried lowskill tenant white female
## 4429 married clerical husband white male
## 4430 married lowskill husband white male
## 4431 married clerical wife black female
## 4432 notmarried clerical tenant white female
## 4433 divorce highskill tenant white male
## 4434 married highskill husband white male
## 4435 notmarried highskill tenant white male
## 4436 divorce other tenant white female
## 4437 married highskill husband white male
## 4438 notmarried other tenant white female
## 4439 married highskill husband white male
## 4440 notmarried highskill tenant white male
## 4441 married highskill husband white male
## 4442 married highskill husband black male
## 4443 notmarried highskill tenant white female
## 4444 married highskill husband white male
## 4445 notmarried midskill depchild white male
## 4446 married highskill husband white male
## 4447 divorce lowskill tenant black female
## 4448 notmarried highskill depchild white female
## 4449 divorce clerical tenant white male
## 4450 divorce midskill tenant white male
## 4451 notmarried highskill tenant white male
## 4452 notmarried midskill tenant white female
## 4453 notmarried clerical depchild Asian_Pac_Islander female
## 4454 married clerical wife white female
## 4455 notmarried highskill relative white male
## 4456 married midskill husband white male
## 4457 married highskill husband white male
## 4458 divorce highskill depchild other male
## 4459 divorce agriculture single_occ white male
## 4460 notmarried highskill tenant white male
## 4461 divorce other single_occ white female
## 4462 notmarried lowskill depchild white male
## 4463 married highskill husband other male
## 4464 widowed clerical single_occ white female
## 4465 notmarried other tenant white male
## 4466 married highskill husband white male
## 4467 married highskill wife white female
## 4468 married highskill husband white male
## 4469 notmarried midskill depchild white female
## 4470 notmarried highskill depchild white male
## 4471 married midskill husband black male
## 4472 married clerical husband white male
## 4473 married clerical wife white female
## 4474 married midskill husband white male
## 4475 married highskill husband white male
## 4476 married highskill husband white male
## 4477 notmarried midskill tenant white male
## 4478 married lowskill husband white male
## 4479 divorce highskill single_occ white female
## 4480 notmarried highskill tenant white male
## 4481 married highskill husband Asian_Pac_Islander male
## 4482 notmarried highskill tenant white male
## 4483 notmarried highskill single_occ black female
## 4484 notmarried highskill tenant white male
## 4485 widowed clerical single_occ white female
## 4486 married clerical single_occ white female
## 4487 married midskill husband black male
## 4488 notmarried lowskill depchild white male
## 4489 notmarried highskill tenant white female
## 4490 divorce lowskill tenant white male
## 4491 notmarried highskill tenant white male
## 4492 married highskill husband white male
## 4493 married highskill wife white female
## 4494 divorce highskill depchild white female
## 4495 married midskill husband white male
## 4496 married highskill husband white male
## 4497 married agriculture husband white male
## 4498 married midskill husband white male
## 4499 divorce lowskill single_occ black female
## 4500 notmarried other depchild white male
## 4501 divorce other tenant white female
## 4502 notmarried lowskill tenant black male
## 4503 married highskill husband white male
## 4504 notmarried highskill tenant white female
## 4505 divorce highskill single_occ white female
## 4506 notmarried midskill tenant black male
## 4507 notmarried lowskill depchild white male
## 4508 married midskill husband white male
## 4509 notmarried lowskill tenant black male
## 4510 notmarried midskill depchild white female
## 4511 divorce lowskill single_occ white female
## 4512 notmarried highskill tenant white male
## 4513 married midskill relative Asian_Pac_Islander male
## 4514 notmarried lowskill depchild white male
## 4515 divorce highskill relative white female
## 4516 notmarried clerical depchild white male
## 4517 notmarried clerical tenant white female
## 4518 married highskill husband white male
## 4519 married midskill husband white male
## 4520 notmarried other tenant white male
## 4521 married lowskill husband white male
## 4522 married lowskill husband black male
## 4523 notmarried clerical tenant white female
## 4524 married highskill husband Asian_Pac_Islander male
## 4525 married midskill husband white male
## 4526 notmarried highskill tenant white female
## 4527 married midskill wife black female
## 4528 notmarried lowskill tenant white male
## 4529 divorce lowskill single_occ white female
## 4530 married clerical husband white male
## 4531 divorce highskill tenant white female
## 4532 notmarried other depchild white male
## 4533 divorce lowskill depchild Asian_Pac_Islander female
## 4534 notmarried midskill depchild white male
## 4535 notmarried lowskill depchild white female
## 4536 married highskill husband white male
## 4537 notmarried highskill tenant black female
## 4538 married highskill husband white male
## 4539 notmarried highskill depchild Asian_Pac_Islander female
## 4540 married highskill husband white male
## 4541 married clerical wife white female
## 4542 divorce clerical relative white female
## 4543 married agriculture husband white male
## 4544 married agriculture husband white male
## 4545 notmarried midskill tenant white male
## 4546 married highskill wife black female
## 4547 married highskill husband white male
## 4548 married midskill husband white male
## 4549 divorce other tenant white male
## 4550 married highskill husband white male
## 4551 married midskill husband white male
## 4552 notmarried highskill tenant white male
## 4553 married midskill husband black male
## 4554 notmarried other depchild black male
## 4555 notmarried lowskill depchild white male
## 4556 married lowskill husband white male
## 4557 notmarried clerical single_occ white female
## 4558 notmarried highskill tenant white female
## 4559 married midskill husband white male
## 4560 married highskill husband white male
## 4561 notmarried midskill tenant white male
## 4562 married lowskill husband white male
## 4563 notmarried lowskill single_occ white female
## 4564 notmarried highskill tenant white male
## 4565 divorce clerical tenant white female
## 4566 married midskill husband white male
## 4567 married highskill husband white male
## 4568 married highskill husband white male
## 4569 notmarried highskill depchild white male
## 4570 divorce clerical single_occ white female
## 4571 widowed clerical tenant white female
## 4572 married highskill husband white male
## 4573 notmarried lowskill tenant white male
## 4574 notmarried clerical single_occ black female
## 4575 notmarried agriculture tenant white male
## 4576 married highskill wife black female
## 4577 married midskill wife black female
## 4578 married highskill husband white male
## 4579 divorce lowskill tenant white female
## 4580 divorce highskill single_occ white female
## 4581 notmarried lowskill depchild white male
## 4582 divorce midskill single_occ white male
## 4583 notmarried clerical tenant white female
## 4584 divorce highskill single_occ Asian_Pac_Islander female
## 4585 married highskill husband white male
## 4586 notmarried lowskill tenant white male
## 4587 notmarried clerical tenant white female
## 4588 divorce clerical tenant white female
## 4589 married lowskill wife white female
## 4590 notmarried midskill tenant white female
## 4591 married highskill husband white male
## 4592 divorce midskill depchild white male
## 4593 married other wife white female
## 4594 married highskill husband white male
## 4595 notmarried lowskill depchild white male
## 4596 married highskill husband black male
## 4597 notmarried midskill tenant Asian_Pac_Islander male
## 4598 married highskill husband white male
## 4599 married highskill tenant Asian_Pac_Islander female
## 4600 married midskill husband white male
## 4601 married midskill husband white male
## 4602 divorce lowskill single_occ black female
## 4603 divorce midskill single_occ black female
## 4604 married midskill husband white male
## 4605 divorce clerical single_occ white female
## 4606 notmarried highskill depchild white female
## 4607 married other wife white female
## 4608 notmarried other single_occ white female
## 4609 divorce highskill tenant white female
## 4610 married lowskill wife white female
## 4611 married midskill husband Asian_Pac_Islander male
## 4612 married highskill husband native male
## 4613 married highskill husband white male
## 4614 married other husband black male
## 4615 married agriculture husband white male
## 4616 notmarried midskill depchild black male
## 4617 divorce clerical tenant white female
## 4618 notmarried highskill relative Asian_Pac_Islander male
## 4619 married highskill husband white male
## 4620 divorce highskill relative white male
## 4621 notmarried highskill tenant white male
## 4622 notmarried other depchild white male
## 4623 married highskill husband white male
## 4624 notmarried lowskill depchild white female
## 4625 notmarried highskill single_occ white female
## 4626 married highskill husband Asian_Pac_Islander male
## 4627 divorce lowskill depchild white male
## 4628 married other husband white male
## 4629 notmarried midskill tenant white male
## 4630 married clerical wife white female
## 4631 married midskill husband white male
## 4632 notmarried clerical depchild white male
## 4633 married midskill husband white male
## 4634 married lowskill single_occ white female
## 4635 married highskill husband black male
## 4636 notmarried highskill depchild white male
## 4637 married midskill husband white male
## 4638 married midskill husband white male
## 4639 divorce lowskill tenant black female
## 4640 notmarried highskill tenant black male
## 4641 notmarried midskill depchild white male
## 4642 married highskill husband white male
## 4643 notmarried lowskill relative white male
## 4644 widowed lowskill single_occ black female
## 4645 married lowskill husband white male
## 4646 married clerical husband black male
## 4647 married midskill husband white male
## 4648 notmarried lowskill tenant black male
## 4649 notmarried highskill tenant white female
## 4650 divorce highskill single_occ black female
## 4651 notmarried highskill depchild Asian_Pac_Islander female
## 4652 married highskill husband white male
## 4653 divorce highskill single_occ white female
## 4654 married midskill husband white male
## 4655 married lowskill husband white male
## 4656 notmarried other tenant white female
## 4657 married highskill wife black female
## 4658 married highskill husband white male
## 4659 notmarried lowskill depchild white female
## 4660 married midskill husband white male
## 4661 notmarried lowskill tenant white male
## 4662 married highskill husband white male
## 4663 married highskill husband white male
## 4664 married midskill wife white female
## 4665 notmarried lowskill depchild black male
## 4666 divorce lowskill single_occ white female
## 4667 married highskill husband native male
## 4668 notmarried agriculture depchild white male
## 4669 married highskill husband white male
## 4670 married highskill husband white male
## 4671 married midskill husband white male
## 4672 married highskill husband white male
## 4673 notmarried highskill tenant white female
## 4674 married midskill husband white male
## 4675 married highskill husband white male
## 4676 married highskill husband white male
## 4677 notmarried highskill depchild white male
## 4678 married midskill husband white male
## 4679 notmarried highskill tenant black female
## 4680 notmarried highskill relative white female
## 4681 married highskill husband white male
## 4682 married highskill husband white male
## 4683 married highskill husband white male
## 4684 notmarried midskill tenant black male
## 4685 notmarried clerical tenant white female
## 4686 married other wife white female
## 4687 notmarried highskill depchild white male
## 4688 divorce midskill single_occ black female
## 4689 notmarried other depchild white female
## 4690 married midskill husband white male
## 4691 notmarried highskill depchild black male
## 4692 married clerical husband white male
## 4693 divorce highskill tenant white female
## 4694 notmarried highskill depchild white male
## 4695 married midskill husband white male
## 4696 married lowskill husband white male
## 4697 married highskill husband white male
## 4698 notmarried lowskill relative white male
## 4699 married midskill tenant white male
## 4700 married midskill husband white male
## 4701 notmarried midskill relative other male
## 4702 notmarried lowskill tenant white male
## 4703 notmarried highskill depchild white female
## 4704 divorce lowskill tenant white male
## 4705 married midskill wife white female
## 4706 divorce midskill single_occ white female
## 4707 married agriculture husband white male
## 4708 married midskill husband white male
## 4709 notmarried lowskill depchild white male
## 4710 married highskill husband white male
## 4711 divorce midskill tenant white male
## 4712 married highskill husband white male
## 4713 notmarried clerical depchild white female
## 4714 divorce midskill single_occ white male
## 4715 notmarried lowskill depchild white female
## 4716 notmarried clerical tenant white male
## 4717 notmarried lowskill single_occ black female
## 4718 married midskill husband white male
## 4719 widowed lowskill single_occ other female
## 4720 divorce highskill tenant white female
## 4721 widowed lowskill tenant white female
## 4722 married other husband white male
## 4723 notmarried highskill depchild white male
## 4724 married midskill husband white male
## 4725 married highskill husband Asian_Pac_Islander male
## 4726 notmarried midskill relative white male
## 4727 married midskill husband white male
## 4728 married highskill husband white male
## 4729 notmarried highskill depchild white female
## 4730 widowed other tenant white female
## 4731 divorce lowskill single_occ white female
## 4732 divorce midskill relative white male
## 4733 notmarried agriculture single_occ other male
## 4734 notmarried clerical single_occ white male
## 4735 notmarried lowskill relative white female
## 4736 notmarried highskill tenant white male
## 4737 married highskill husband white male
## 4738 notmarried midskill depchild white male
## 4739 notmarried midskill tenant black male
## 4740 notmarried highskill tenant white female
## 4741 notmarried highskill tenant white male
## 4742 notmarried highskill tenant white female
## 4743 married highskill husband white male
## 4744 married highskill husband white male
## 4745 notmarried highskill tenant white male
## 4746 widowed other single_occ white female
## 4747 notmarried highskill tenant white male
## 4748 married highskill husband white male
## 4749 divorce highskill single_occ white male
## 4750 divorce highskill tenant black female
## 4751 married highskill husband white male
## 4752 married highskill husband white male
## 4753 married other husband white male
## 4754 married midskill husband black male
## 4755 divorce highskill single_occ white female
## 4756 married other husband white male
## 4757 married midskill husband white male
## 4758 married midskill husband white male
## 4759 notmarried midskill single_occ white male
## 4760 widowed highskill single_occ black female
## 4761 divorce highskill tenant black female
## 4762 married highskill husband white male
## 4763 notmarried clerical tenant white female
## 4764 divorce highskill tenant white male
## 4765 divorce highskill tenant white male
## 4766 married midskill husband white male
## 4767 married other husband white male
## 4768 notmarried highskill depchild white female
## 4769 married highskill husband Asian_Pac_Islander male
## 4770 notmarried midskill tenant white female
## 4771 notmarried lowskill depchild white female
## 4772 married lowskill husband white male
## 4773 divorce lowskill relative white female
## 4774 notmarried agriculture depchild white male
## 4775 notmarried highskill tenant white female
## 4776 notmarried midskill depchild white male
## 4777 married highskill husband white male
## 4778 notmarried highskill tenant white male
## 4779 divorce other depchild white male
## 4780 notmarried highskill depchild Asian_Pac_Islander male
## 4781 married highskill husband white male
## 4782 divorce midskill depchild white male
## 4783 married other husband white male
## 4784 notmarried lowskill depchild white male
## 4785 married highskill husband white male
## 4786 notmarried midskill relative Asian_Pac_Islander female
## 4787 notmarried midskill depchild Asian_Pac_Islander male
## 4788 married midskill husband white male
## 4789 married highskill husband white male
## 4790 married lowskill husband white male
## 4791 married highskill husband white male
## 4792 divorce clerical single_occ white female
## 4793 married midskill husband white male
## 4794 married lowskill husband black male
## 4795 married midskill husband white male
## 4796 married highskill husband white male
## 4797 notmarried clerical depchild black female
## 4798 married highskill husband white male
## 4799 notmarried midskill tenant Asian_Pac_Islander male
## 4800 notmarried clerical tenant white male
## 4801 married midskill husband white male
## 4802 notmarried other tenant white male
## 4803 married midskill husband white male
## 4804 notmarried lowskill tenant Asian_Pac_Islander female
## 4805 married agriculture husband white male
## 4806 notmarried highskill tenant white female
## 4807 divorce midskill tenant white male
## 4808 divorce highskill single_occ white male
## 4809 married clerical husband white male
## 4810 notmarried highskill depchild white male
## 4811 divorce highskill tenant white male
## 4812 notmarried highskill tenant white female
## 4813 divorce other tenant white female
## 4814 married midskill husband white male
## 4815 notmarried clerical depchild white female
## 4816 married clerical wife white female
## 4817 married highskill husband white male
## 4818 notmarried highskill tenant white female
## 4819 notmarried other depchild white female
## 4820 divorce clerical single_occ white female
## 4821 married midskill husband white male
## 4822 divorce highskill single_occ white female
## 4823 notmarried highskill tenant black male
## 4824 married midskill husband white male
## 4825 divorce lowskill single_occ black male
## 4826 married clerical husband white male
## 4827 notmarried clerical single_occ Asian_Pac_Islander female
## 4828 married midskill husband white male
## 4829 divorce lowskill tenant white female
## 4830 divorce lowskill single_occ white female
## 4831 married midskill relative white male
## 4832 widowed clerical tenant white female
## 4833 married midskill husband white male
## 4834 married highskill husband white male
## 4835 divorce clerical tenant white female
## 4836 notmarried other single_occ black female
## 4837 divorce highskill tenant white male
## 4838 notmarried clerical tenant white female
## 4839 married other husband white male
## 4840 notmarried highskill single_occ black female
## 4841 notmarried lowskill single_occ white male
## 4842 divorce clerical relative black female
## 4843 divorce highskill tenant white female
## 4844 married midskill husband white male
## 4845 notmarried lowskill single_occ white male
## 4846 married clerical husband white male
## 4847 married midskill husband white male
## 4848 married highskill husband white male
## 4849 divorce highskill tenant white female
## 4850 married agriculture husband white male
## 4851 married midskill husband white male
## 4852 married highskill husband white male
## 4853 married highskill husband white male
## 4854 notmarried lowskill depchild white male
## 4855 notmarried highskill tenant Asian_Pac_Islander female
## 4856 notmarried clerical depchild white female
## 4857 notmarried highskill tenant white female
## 4858 married highskill husband white male
## 4859 married midskill husband white male
## 4860 notmarried agriculture relative white male
## 4861 divorce highskill single_occ black female
## 4862 notmarried midskill relative white male
## 4863 married midskill husband white male
## 4864 married highskill husband white male
## 4865 notmarried midskill depchild black female
## 4866 married highskill husband white male
## 4867 notmarried midskill depchild white male
## 4868 married midskill husband white male
## 4869 notmarried highskill relative white male
## 4870 divorce lowskill tenant white female
## 4871 married highskill husband white male
## 4872 notmarried clerical depchild white female
## 4873 married highskill husband white male
## 4874 married highskill husband white male
## 4875 married clerical wife white female
## 4876 married highskill husband white male
## 4877 notmarried highskill depchild white male
## 4878 divorce clerical single_occ black female
## 4879 married highskill wife white female
## 4880 divorce highskill tenant black male
## 4881 notmarried midskill tenant white male
## 4882 notmarried midskill tenant white male
## 4883 married midskill husband white male
## 4884 notmarried highskill tenant white male
## 4885 notmarried other single_occ white female
## 4886 married highskill husband white male
## 4887 divorce highskill single_occ white female
## 4888 notmarried clerical single_occ black female
## 4889 married highskill husband white male
## 4890 married midskill husband white male
## 4891 married agriculture husband white male
## 4892 notmarried lowskill tenant white female
## 4893 notmarried lowskill depchild white female
## 4894 notmarried highskill tenant white female
## 4895 married highskill husband white male
## 4896 notmarried agriculture tenant white male
## 4897 notmarried highskill tenant white male
## 4898 married highskill husband white male
## 4899 married highskill husband white male
## 4900 notmarried highskill tenant white male
## 4901 married midskill husband white male
## 4902 notmarried highskill tenant white male
## 4903 married midskill husband white male
## 4904 married midskill husband Asian_Pac_Islander male
## 4905 notmarried lowskill depchild white male
## 4906 married highskill wife white female
## 4907 widowed highskill tenant white female
## 4908 notmarried clerical tenant white female
## 4909 married midskill husband white male
## 4910 widowed highskill single_occ white female
## 4911 married midskill husband white male
## 4912 notmarried clerical depchild white female
## 4913 notmarried clerical depchild black female
## 4914 notmarried lowskill relative white female
## 4915 married midskill husband white male
## 4916 notmarried highskill depchild white male
## 4917 married lowskill husband white male
## 4918 notmarried highskill tenant white female
## 4919 married highskill husband white male
## 4920 notmarried clerical relative Asian_Pac_Islander female
## 4921 married clerical wife white female
## 4922 married highskill husband white male
## 4923 notmarried clerical tenant white male
## 4924 married highskill husband white male
## 4925 divorce highskill single_occ white female
## 4926 notmarried other tenant white male
## 4927 divorce highskill single_occ white female
## 4928 married clerical depchild white female
## 4929 divorce highskill tenant white male
## 4930 divorce midskill single_occ white male
## 4931 notmarried lowskill depchild white male
## 4932 notmarried lowskill depchild white female
## 4933 divorce midskill depchild white male
## 4934 divorce lowskill single_occ black female
## 4935 married lowskill husband white male
## 4936 married clerical husband black male
## 4937 widowed clerical tenant white female
## 4938 notmarried clerical depchild white male
## 4939 married clerical wife white female
## 4940 married clerical depchild white female
## 4941 married midskill husband white male
## 4942 married midskill husband white male
## 4943 notmarried other depchild white female
## 4944 married highskill husband white male
## 4945 married highskill husband white male
## 4946 married highskill husband white male
## 4947 notmarried highskill tenant white male
## 4948 married midskill husband white male
## 4949 divorce highskill tenant native female
## 4950 married highskill husband white male
## 4951 married highskill husband white male
## 4952 married highskill husband white male
## 4953 married highskill husband white male
## 4954 married clerical husband white male
## 4955 divorce highskill tenant white female
## 4956 married lowskill husband white male
## 4957 widowed highskill single_occ white male
## 4958 divorce lowskill depchild white female
## 4959 notmarried other depchild white female
## 4960 widowed clerical tenant white male
## 4961 notmarried highskill depchild white female
## 4962 married highskill wife white female
## 4963 notmarried midskill depchild other male
## 4964 notmarried highskill tenant white female
## 4965 married midskill husband white male
## 4966 notmarried highskill tenant white male
## 4967 notmarried midskill depchild black male
## 4968 married highskill wife white female
## 4969 notmarried highskill relative white male
## 4970 notmarried highskill depchild white male
## 4971 married other husband white male
## 4972 married midskill husband white male
## 4973 married highskill husband Asian_Pac_Islander male
## 4974 married agriculture husband white male
## 4975 married highskill husband white male
## 4976 married clerical husband white male
## 4977 married midskill husband white male
## 4978 married midskill husband white male
## 4979 divorce highskill tenant white male
## 4980 married lowskill tenant white male
## 4981 divorce other depchild black male
## 4982 notmarried clerical tenant white male
## 4983 notmarried other depchild white male
## 4984 married highskill husband white male
## 4985 notmarried midskill depchild black male
## 4986 notmarried lowskill single_occ black male
## 4987 notmarried lowskill depchild white female
## 4988 married highskill husband white male
## 4989 married highskill husband white male
## 4990 divorce highskill single_occ black female
## 4991 divorce highskill tenant white male
## 4992 married midskill husband white male
## 4993 married lowskill husband white male
## 4994 notmarried highskill tenant white male
## 4995 married highskill husband white male
## 4996 notmarried midskill single_occ white female
## 4997 married midskill husband white male
## 4998 married midskill husband white male
## 4999 notmarried clerical tenant white male
## 5000 notmarried highskill tenant white female
## 5001 divorce highskill tenant white male
## 5002 notmarried highskill relative white female
## 5003 married highskill wife white female
## 5004 notmarried midskill single_occ white female
## 5005 married midskill husband black male
## 5006 married highskill husband white male
## 5007 notmarried lowskill tenant white male
## 5008 married highskill husband white male
## 5009 married midskill husband white male
## 5010 married highskill husband white male
## 5011 notmarried highskill tenant white female
## 5012 notmarried midskill tenant white male
## 5013 notmarried highskill tenant Asian_Pac_Islander male
## 5014 married highskill husband white male
## 5015 divorce midskill tenant white male
## 5016 married midskill husband black male
## 5017 divorce highskill single_occ white female
## 5018 divorce clerical depchild black female
## 5019 notmarried highskill tenant white male
## 5020 notmarried lowskill tenant white male
## 5021 notmarried other depchild white female
## 5022 married midskill husband white male
## 5023 married midskill husband native male
## 5024 notmarried clerical tenant white female
## 5025 married clerical husband white male
## 5026 married highskill husband white male
## 5027 married highskill husband white male
## 5028 married highskill wife black female
## 5029 married agriculture husband other male
## 5030 notmarried highskill depchild white female
## 5031 notmarried lowskill depchild white male
## 5032 married highskill husband white male
## 5033 notmarried lowskill tenant white male
## 5034 married highskill husband white male
## 5035 married agriculture husband white male
## 5036 married lowskill wife white female
## 5037 married clerical wife black female
## 5038 married highskill husband white male
## 5039 married midskill husband white male
## 5040 married midskill husband white male
## 5041 notmarried highskill tenant white female
## 5042 married midskill husband white male
## 5043 divorce clerical tenant white female
## 5044 divorce highskill tenant white female
## 5045 married highskill husband white male
## 5046 married highskill husband white male
## 5047 married midskill husband white male
## 5048 notmarried midskill tenant white male
## 5049 divorce agriculture tenant white male
## 5050 married highskill husband white male
## 5051 married highskill husband white male
## 5052 married highskill husband white male
## 5053 divorce highskill tenant white female
## 5054 married highskill husband white male
## 5055 notmarried midskill depchild white male
## 5056 notmarried lowskill depchild white male
## 5057 married midskill husband white male
## 5058 married lowskill husband white male
## 5059 married highskill husband black male
## 5060 divorce clerical tenant white female
## 5061 married midskill husband white male
## 5062 notmarried midskill depchild white male
## 5063 married midskill husband white male
## 5064 married midskill husband white male
## 5065 notmarried other depchild white female
## 5066 married midskill tenant white male
## 5067 married highskill husband white male
## 5068 married lowskill depchild white male
## 5069 notmarried midskill tenant white male
## 5070 notmarried highskill tenant white female
## 5071 notmarried highskill depchild white male
## 5072 married agriculture husband white male
## 5073 married highskill husband white male
## 5074 married highskill husband white male
## 5075 married highskill husband white male
## 5076 married highskill wife white female
## 5077 notmarried lowskill depchild black female
## 5078 divorce lowskill tenant white female
## 5079 married midskill husband white male
## 5080 married midskill husband white male
## 5081 divorce highskill single_occ black female
## 5082 notmarried midskill relative Asian_Pac_Islander male
## 5083 divorce highskill tenant white male
## 5084 notmarried clerical tenant black female
## 5085 notmarried highskill tenant black female
## 5086 married agriculture husband white male
## 5087 married midskill husband white male
## 5088 notmarried midskill depchild white male
## 5089 married midskill husband white male
## 5090 married highskill husband white male
## 5091 notmarried lowskill depchild white male
## 5092 divorce highskill single_occ white female
## 5093 divorce midskill depchild white male
## 5094 married midskill husband white male
## 5095 divorce midskill tenant white female
## 5096 married clerical wife white female
## 5097 widowed lowskill single_occ black female
## 5098 married highskill husband white male
## 5099 married highskill husband white male
## 5100 married highskill husband white male
## 5101 married agriculture husband white male
## 5102 married highskill husband white male
## 5103 married lowskill husband white male
## 5104 married highskill husband white male
## 5105 notmarried lowskill tenant Asian_Pac_Islander male
## 5106 married midskill tenant white male
## 5107 married highskill husband white male
## 5108 notmarried midskill depchild white male
## 5109 married highskill husband white male
## 5110 married lowskill tenant white male
## 5111 notmarried midskill depchild white male
## 5112 notmarried lowskill single_occ black male
## 5113 married midskill husband white male
## 5114 widowed midskill single_occ white female
## 5115 married highskill husband white male
## 5116 notmarried highskill relative black male
## 5117 married midskill husband white male
## 5118 notmarried highskill tenant white male
## 5119 married highskill husband other male
## 5120 divorce lowskill single_occ black female
## 5121 married highskill husband white male
## 5122 married midskill husband white male
## 5123 notmarried lowskill tenant white male
## 5124 married highskill wife white female
## 5125 notmarried highskill depchild white female
## 5126 notmarried highskill tenant white male
## 5127 notmarried midskill relative white female
## 5128 widowed highskill tenant native female
## 5129 notmarried highskill depchild black female
## 5130 married highskill husband white male
## 5131 divorce midskill tenant white male
## 5132 married clerical wife white female
## 5133 notmarried highskill tenant white female
## 5134 widowed midskill tenant white female
## 5135 married lowskill husband white male
## 5136 widowed midskill single_occ white male
## 5137 notmarried lowskill depchild white male
## 5138 married clerical wife white female
## 5139 notmarried highskill depchild white male
## 5140 married lowskill husband black male
## 5141 married highskill husband white male
## 5142 notmarried midskill depchild white male
## 5143 notmarried lowskill tenant black female
## 5144 divorce clerical relative white female
## 5145 married highskill husband white male
## 5146 divorce highskill single_occ white female
## 5147 notmarried highskill tenant white male
## 5148 notmarried other depchild black male
## 5149 married midskill husband white male
## 5150 married midskill husband black male
## 5151 married midskill husband white male
## 5152 divorce highskill single_occ white female
## 5153 notmarried clerical tenant white female
## 5154 divorce clerical single_occ white female
## 5155 married midskill husband white male
## 5156 divorce agriculture single_occ white female
## 5157 widowed other tenant white female
## 5158 married clerical wife white female
## 5159 married highskill husband white male
## 5160 married midskill husband white male
## 5161 married highskill wife white female
## 5162 married clerical wife black female
## 5163 married lowskill husband white male
## 5164 notmarried highskill depchild white male
## 5165 married midskill husband white male
## 5166 notmarried highskill tenant white male
## 5167 married clerical husband white male
## 5168 married lowskill husband white male
## 5169 married agriculture husband white male
## 5170 married agriculture husband white male
## 5171 married midskill husband white male
## 5172 notmarried highskill tenant white male
## 5173 married other wife white female
## 5174 married highskill husband white male
## 5175 notmarried highskill depchild white male
## 5176 married highskill husband white male
## 5177 married highskill depchild white male
## 5178 divorce clerical tenant white female
## 5179 divorce midskill tenant black female
## 5180 married highskill wife white female
## 5181 divorce highskill single_occ white female
## 5182 notmarried midskill depchild white male
## 5183 married lowskill depchild white male
## 5184 divorce highskill tenant white male
## 5185 married highskill wife white female
## 5186 notmarried highskill depchild white male
## 5187 married highskill husband white male
## 5188 widowed highskill tenant white female
## 5189 notmarried midskill tenant black male
## 5190 married clerical wife black female
## 5191 married midskill husband white male
## 5192 notmarried lowskill depchild white female
## 5193 married highskill husband white male
## 5194 widowed other tenant white female
## 5195 married midskill husband white male
## 5196 divorce clerical single_occ white female
## 5197 married highskill husband Asian_Pac_Islander male
## 5198 married highskill husband white male
## 5199 married other husband white male
## 5200 divorce clerical single_occ white female
## 5201 notmarried highskill tenant white male
## 5202 married highskill husband white male
## 5203 married highskill husband white male
## 5204 notmarried highskill depchild white male
## 5205 notmarried midskill tenant white male
## 5206 notmarried highskill tenant white male
## 5207 notmarried lowskill tenant white male
## 5208 divorce other relative other female
## 5209 notmarried lowskill single_occ black female
## 5210 notmarried other depchild white female
## 5211 notmarried highskill relative black female
## 5212 married midskill husband white male
## 5213 notmarried agriculture tenant white male
## 5214 notmarried highskill relative white female
## 5215 widowed other tenant native female
## 5216 married highskill husband white male
## 5217 notmarried highskill tenant white male
## 5218 notmarried midskill tenant white female
## 5219 notmarried highskill tenant white male
## 5220 married highskill wife Asian_Pac_Islander female
## 5221 married highskill husband white male
## 5222 notmarried clerical depchild white male
## 5223 married highskill husband white male
## 5224 divorce clerical tenant white female
## 5225 married highskill husband white male
## 5226 married midskill husband white male
## 5227 married midskill husband white male
## 5228 married highskill wife black female
## 5229 notmarried other tenant white female
## 5230 married lowskill husband white male
## 5231 married lowskill husband white male
## 5232 divorce highskill tenant white male
## 5233 divorce lowskill tenant white male
## 5234 married highskill husband white male
## 5235 married clerical wife white female
## 5236 notmarried highskill tenant white female
## 5237 married highskill husband white male
## 5238 notmarried highskill depchild white female
## 5239 married highskill husband white male
## 5240 notmarried highskill depchild white female
## 5241 notmarried highskill depchild white female
## 5242 married lowskill tenant white female
## 5243 married highskill husband white male
## 5244 divorce highskill single_occ white female
## 5245 married midskill husband white male
## 5246 divorce highskill tenant white male
## 5247 divorce clerical tenant white female
## 5248 notmarried lowskill depchild white male
## 5249 married midskill husband white male
## 5250 married highskill husband white male
## 5251 married highskill husband white male
## 5252 married highskill wife white female
## 5253 notmarried midskill depchild white female
## 5254 notmarried highskill tenant black male
## 5255 married midskill husband other male
## 5256 divorce other single_occ white female
## 5257 notmarried lowskill depchild white female
## 5258 notmarried midskill tenant white male
## 5259 notmarried clerical depchild white male
## 5260 notmarried lowskill depchild white male
## 5261 notmarried clerical depchild white female
## 5262 notmarried midskill tenant white male
## 5263 divorce highskill tenant white female
## 5264 notmarried lowskill depchild white female
## 5265 married highskill husband white male
## 5266 notmarried clerical tenant white female
## 5267 notmarried midskill depchild white male
## 5268 married highskill husband white male
## 5269 notmarried highskill depchild white female
## 5270 married midskill husband white male
## 5271 divorce midskill tenant white male
## 5272 notmarried midskill relative white male
## 5273 notmarried clerical tenant white female
## 5274 married highskill husband white male
## 5275 married highskill husband white male
## 5276 married highskill husband white male
## 5277 married highskill husband white male
## 5278 notmarried highskill depchild white male
## 5279 married lowskill husband white male
## 5280 divorce highskill tenant white female
## 5281 married highskill husband white male
## 5282 notmarried lowskill tenant white male
## 5283 married highskill husband white male
## 5284 divorce highskill tenant white male
## 5285 notmarried highskill depchild white male
## 5286 married clerical wife white female
## 5287 divorce lowskill relative white male
## 5288 married highskill wife white female
## 5289 notmarried midskill tenant white male
## 5290 married midskill husband white male
## 5291 married highskill husband other male
## 5292 widowed highskill tenant white female
## 5293 notmarried highskill depchild white female
## 5294 married agriculture husband white male
## 5295 divorce other tenant white male
## 5296 married midskill husband white male
## 5297 married other husband white male
## 5298 married lowskill husband white male
## 5299 married clerical wife white female
## 5300 married agriculture husband white male
## 5301 divorce lowskill single_occ white male
## 5302 married midskill husband white male
## 5303 notmarried other depchild white female
## 5304 notmarried lowskill depchild white female
## 5305 notmarried highskill depchild white female
## 5306 divorce clerical tenant white male
## 5307 married agriculture husband white male
## 5308 divorce other single_occ white female
## 5309 notmarried lowskill depchild white male
## 5310 notmarried midskill single_occ white male
## 5311 divorce highskill tenant white female
## 5312 notmarried highskill tenant white male
## 5313 married highskill husband white male
## 5314 notmarried clerical tenant black female
## 5315 married agriculture husband white male
## 5316 notmarried midskill depchild white male
## 5317 notmarried clerical depchild white male
## 5318 married midskill husband white male
## 5319 married highskill husband white male
## 5320 married midskill husband white male
## 5321 notmarried other tenant black male
## 5322 notmarried other depchild white female
## 5323 notmarried highskill tenant white female
## 5324 married midskill husband white male
## 5325 divorce midskill tenant white female
## 5326 notmarried lowskill depchild white male
## 5327 married agriculture husband white male
## 5328 married highskill husband white male
## 5329 notmarried highskill depchild white male
## 5330 married highskill husband white male
## 5331 married lowskill husband Asian_Pac_Islander male
## 5332 notmarried highskill depchild white male
## 5333 notmarried lowskill depchild white male
## 5334 divorce lowskill relative white male
## 5335 married highskill husband white male
## 5336 divorce highskill tenant white female
## 5337 notmarried midskill tenant white male
## 5338 divorce highskill single_occ white female
## 5339 divorce clerical tenant white female
## 5340 notmarried highskill tenant white female
## 5341 married other husband white male
## 5342 notmarried midskill depchild white male
## 5343 married midskill husband white male
## 5344 divorce clerical single_occ black female
## 5345 married other tenant white male
## 5346 married lowskill husband white male
## 5347 notmarried other depchild white male
## 5348 married midskill husband white male
## 5349 notmarried lowskill depchild white male
## 5350 married highskill wife white female
## 5351 notmarried lowskill depchild white male
## 5352 notmarried highskill tenant white male
## 5353 notmarried midskill depchild white male
## 5354 married midskill husband white male
## 5355 divorce highskill single_occ black female
## 5356 married lowskill husband white male
## 5357 notmarried highskill depchild white female
## 5358 married lowskill husband black male
## 5359 married highskill husband native male
## 5360 notmarried lowskill tenant white female
## 5361 notmarried midskill depchild white male
## 5362 notmarried other depchild white male
## 5363 married midskill husband white male
## 5364 notmarried midskill depchild white male
## 5365 married highskill husband white male
## 5366 married lowskill husband white male
## 5367 notmarried highskill depchild white male
## 5368 notmarried highskill depchild white male
## 5369 married highskill husband white male
## 5370 married midskill husband black male
## 5371 married highskill husband white male
## 5372 notmarried highskill relative white male
## 5373 married highskill husband white male
## 5374 married midskill husband white male
## 5375 married highskill husband black male
## 5376 notmarried highskill tenant black female
## 5377 married midskill husband white male
## 5378 divorce highskill tenant white female
## 5379 married midskill husband white male
## 5380 married highskill husband white male
## 5381 married highskill wife black female
## 5382 notmarried clerical tenant white female
## 5383 married highskill husband white male
## 5384 notmarried other depchild white female
## 5385 notmarried other tenant black female
## 5386 divorce lowskill tenant white male
## 5387 married highskill husband white male
## 5388 married clerical wife white female
## 5389 divorce highskill single_occ white male
## 5390 married highskill husband white male
## 5391 divorce lowskill single_occ white female
## 5392 married midskill wife white female
## 5393 widowed clerical tenant white female
## 5394 notmarried highskill tenant white female
## 5395 married highskill husband white male
## 5396 notmarried clerical tenant Asian_Pac_Islander female
## 5397 notmarried lowskill depchild white male
## 5398 notmarried clerical depchild white male
## 5399 divorce midskill tenant white male
## 5400 divorce lowskill single_occ other female
## 5401 married highskill husband white male
## 5402 notmarried midskill relative white male
## 5403 married highskill tenant white female
## 5404 married highskill husband white male
## 5405 married midskill husband white male
## 5406 married highskill husband white male
## 5407 notmarried highskill tenant black male
## 5408 divorce highskill single_occ white female
## 5409 married highskill husband black male
## 5410 divorce highskill tenant white female
## 5411 married clerical relative white female
## 5412 widowed highskill tenant white female
## 5413 notmarried lowskill depchild white male
## 5414 divorce clerical tenant white female
## 5415 married highskill husband white male
## 5416 notmarried clerical depchild Asian_Pac_Islander female
## 5417 married lowskill husband white male
## 5418 married highskill husband white male
## 5419 married midskill husband white male
## 5420 married midskill husband white male
## 5421 married agriculture husband native male
## 5422 married agriculture husband white male
## 5423 notmarried highskill tenant white female
## 5424 divorce lowskill single_occ black female
## 5425 notmarried lowskill tenant Asian_Pac_Islander male
## 5426 married highskill husband white male
## 5427 notmarried lowskill relative white male
## 5428 married clerical husband white male
## 5429 married midskill husband white male
## 5430 divorce highskill tenant white female
## 5431 married midskill husband white male
## 5432 married lowskill wife white female
## 5433 divorce highskill tenant white female
## 5434 divorce clerical tenant white female
## 5435 notmarried clerical depchild black female
## 5436 married midskill tenant Asian_Pac_Islander female
## 5437 notmarried highskill tenant white male
## 5438 married highskill husband white male
## 5439 married midskill husband white male
## 5440 divorce clerical depchild white male
## 5441 notmarried other tenant white female
## 5442 married midskill wife white female
## 5443 married midskill wife white female
## 5444 married highskill husband black male
## 5445 married highskill husband white male
## 5446 divorce midskill depchild white male
## 5447 notmarried other depchild white male
## 5448 notmarried lowskill depchild white female
## 5449 notmarried midskill depchild Asian_Pac_Islander male
## 5450 notmarried lowskill depchild white female
## 5451 notmarried highskill depchild white female
## 5452 divorce midskill tenant white female
## 5453 notmarried clerical depchild white female
## 5454 divorce midskill single_occ white female
## 5455 married clerical wife white female
## 5456 married midskill husband white male
## 5457 married highskill husband white male
## 5458 married clerical husband white male
## 5459 married highskill husband white male
## 5460 notmarried highskill depchild white male
## 5461 notmarried clerical depchild white female
## 5462 notmarried highskill tenant white male
## 5463 married highskill husband white male
## 5464 married midskill tenant white female
## 5465 divorce highskill tenant native female
## 5466 divorce highskill tenant white male
## 5467 notmarried lowskill depchild native male
## 5468 notmarried clerical relative white male
## 5469 divorce lowskill single_occ white male
## 5470 notmarried highskill depchild white male
## 5471 divorce midskill tenant white male
## 5472 widowed other tenant white male
## 5473 notmarried lowskill depchild white male
## 5474 married highskill husband white male
## 5475 married lowskill wife white female
## 5476 married midskill husband white male
## 5477 notmarried lowskill depchild white female
## 5478 notmarried highskill depchild white male
## 5479 married midskill husband white male
## 5480 married highskill husband white male
## 5481 married highskill husband white male
## 5482 married clerical single_occ native female
## 5483 notmarried highskill depchild white male
## 5484 notmarried lowskill tenant white female
## 5485 married highskill husband white male
## 5486 divorce midskill tenant white male
## 5487 married highskill husband white male
## 5488 married highskill husband white male
## 5489 married midskill husband white male
## 5490 divorce highskill tenant white female
## 5491 married highskill husband white male
## 5492 notmarried highskill depchild white male
## 5493 divorce other tenant white female
## 5494 notmarried highskill tenant white male
## 5495 married highskill husband white male
## 5496 notmarried clerical tenant white female
## 5497 divorce midskill tenant white male
## 5498 married clerical husband white male
## 5499 divorce lowskill tenant white female
## 5500 divorce midskill single_occ white male
## 5501 married highskill husband white male
## 5502 divorce highskill relative black male
## 5503 notmarried clerical tenant white female
## 5504 notmarried midskill single_occ white male
## 5505 notmarried clerical single_occ black female
## 5506 married midskill husband black male
## 5507 notmarried midskill depchild white female
## 5508 married midskill husband white male
## 5509 notmarried highskill depchild white female
## 5510 married lowskill husband white male
## 5511 notmarried lowskill depchild other male
## 5512 widowed midskill tenant white female
## 5513 notmarried highskill depchild white female
## 5514 divorce highskill tenant white female
## 5515 notmarried highskill tenant white female
## 5516 notmarried clerical depchild white female
## 5517 married midskill husband white male
## 5518 married midskill husband white male
## 5519 married highskill husband white male
## 5520 notmarried highskill tenant Asian_Pac_Islander female
## 5521 notmarried lowskill tenant black female
## 5522 married midskill husband white male
## 5523 notmarried midskill single_occ white male
## 5524 married clerical wife white female
## 5525 notmarried midskill relative white male
## 5526 notmarried highskill tenant Asian_Pac_Islander female
## 5527 notmarried other depchild white male
## 5528 divorce lowskill single_occ white female
## 5529 divorce highskill depchild white female
## 5530 married other husband white male
## 5531 married highskill wife black female
## 5532 married midskill husband white male
## 5533 divorce highskill tenant white female
## 5534 divorce highskill single_occ white female
## 5535 divorce lowskill single_occ white female
## 5536 notmarried lowskill depchild white male
## 5537 married midskill husband black male
## 5538 married highskill husband white male
## 5539 married highskill husband white male
## 5540 notmarried highskill tenant white male
## 5541 married lowskill husband white male
## 5542 notmarried midskill tenant white male
## 5543 married highskill wife white female
## 5544 married highskill husband white male
## 5545 divorce highskill tenant white male
## 5546 notmarried clerical depchild white male
## 5547 notmarried lowskill tenant black female
## 5548 married highskill husband white male
## 5549 divorce other tenant white male
## 5550 married highskill husband white male
## 5551 married midskill husband white male
## 5552 divorce highskill tenant black male
## 5553 married highskill husband white male
## 5554 notmarried highskill depchild white male
## 5555 married midskill husband white male
## 5556 married highskill husband white male
## 5557 notmarried highskill depchild white female
## 5558 divorce lowskill single_occ white female
## 5559 married highskill husband white male
## 5560 married clerical tenant white female
## 5561 married highskill husband Asian_Pac_Islander male
## 5562 widowed other tenant white female
## 5563 married highskill husband white male
## 5564 divorce midskill tenant white male
## 5565 married highskill husband white male
## 5566 notmarried other relative white female
## 5567 married highskill husband white male
## 5568 divorce midskill tenant white male
## 5569 married midskill husband black male
## 5570 notmarried highskill tenant white female
## 5571 married midskill husband white male
## 5572 divorce clerical relative white female
## 5573 divorce highskill tenant white male
## 5574 married midskill husband white male
## 5575 notmarried highskill tenant white male
## 5576 married agriculture husband white male
## 5577 notmarried midskill tenant white male
## 5578 married midskill husband white male
## 5579 notmarried lowskill tenant white female
## 5580 notmarried midskill tenant white female
## 5581 married highskill husband white male
## 5582 married midskill husband white male
## 5583 married highskill husband white male
## 5584 notmarried midskill depchild white male
## 5585 married highskill husband white male
## 5586 divorce clerical single_occ black female
## 5587 married highskill husband other male
## 5588 married lowskill husband white male
## 5589 married highskill husband white male
## 5590 married highskill husband white male
## 5591 widowed other tenant white female
## 5592 notmarried highskill tenant white female
## 5593 notmarried highskill relative Asian_Pac_Islander male
## 5594 married highskill husband white male
## 5595 notmarried lowskill relative black female
## 5596 married midskill husband white male
## 5597 married highskill husband white male
## 5598 notmarried midskill relative white male
## 5599 notmarried lowskill depchild white male
## 5600 notmarried highskill tenant white male
## 5601 married highskill husband white male
## 5602 married highskill husband white male
## 5603 married highskill husband white male
## 5604 notmarried highskill depchild Asian_Pac_Islander male
## 5605 notmarried lowskill relative white male
## 5606 divorce highskill single_occ black female
## 5607 married highskill husband white male
## 5608 notmarried midskill tenant black male
## 5609 divorce midskill single_occ white male
## 5610 divorce highskill single_occ white female
## 5611 married highskill husband white male
## 5612 married highskill depchild white female
## 5613 married clerical husband white male
## 5614 notmarried highskill depchild black male
## 5615 notmarried midskill tenant white male
## 5616 divorce agriculture tenant white female
## 5617 notmarried lowskill depchild white female
## 5618 notmarried highskill tenant Asian_Pac_Islander female
## 5619 notmarried highskill tenant white male
## 5620 married lowskill husband white male
## 5621 married midskill husband white male
## 5622 notmarried midskill depchild white male
## 5623 divorce lowskill single_occ white female
## 5624 married other husband other male
## 5625 married clerical wife native female
## 5626 married highskill husband white male
## 5627 married lowskill tenant black female
## 5628 divorce clerical single_occ white female
## 5629 married agriculture husband white male
## 5630 married midskill relative Asian_Pac_Islander male
## 5631 divorce highskill tenant white female
## 5632 married lowskill husband white male
## 5633 married other wife white female
## 5634 notmarried clerical depchild white male
## 5635 married highskill husband white male
## 5636 divorce highskill single_occ white male
## 5637 married midskill tenant white male
## 5638 notmarried highskill depchild white female
## 5639 notmarried midskill depchild white male
## 5640 married highskill husband white male
## 5641 married lowskill husband black male
## 5642 married midskill husband white male
## 5643 married highskill husband white male
## 5644 married highskill husband white male
## 5645 divorce highskill tenant white female
## 5646 divorce lowskill tenant white female
## 5647 divorce midskill tenant white male
## 5648 notmarried clerical tenant white male
## 5649 divorce highskill tenant white male
## 5650 married highskill husband white male
## 5651 notmarried midskill depchild white male
## 5652 notmarried midskill tenant white female
## 5653 married other husband white male
## 5654 married lowskill husband white male
## 5655 notmarried highskill tenant white male
## 5656 notmarried highskill tenant black male
## 5657 notmarried lowskill depchild white female
## 5658 married midskill husband white male
## 5659 married highskill wife white female
## 5660 notmarried highskill tenant white male
## 5661 married midskill husband white male
## 5662 notmarried midskill depchild white male
## 5663 married highskill wife white female
## 5664 divorce midskill tenant other male
## 5665 divorce lowskill single_occ white male
## 5666 divorce lowskill tenant black male
## 5667 married midskill husband white male
## 5668 notmarried midskill tenant white female
## 5669 notmarried highskill tenant white male
## 5670 married midskill husband white male
## 5671 notmarried highskill tenant white male
## 5672 married highskill husband black male
## 5673 notmarried highskill tenant white male
## 5674 married clerical husband white male
## 5675 divorce clerical depchild white female
## 5676 divorce highskill tenant white female
## 5677 notmarried lowskill relative white female
## 5678 notmarried highskill tenant white male
## 5679 married clerical single_occ white female
## 5680 married other husband white male
## 5681 married highskill husband white male
## 5682 married highskill husband white male
## 5683 married highskill husband white male
## 5684 divorce highskill tenant white female
## 5685 notmarried midskill depchild white male
## 5686 married highskill husband white male
## 5687 widowed clerical tenant white female
## 5688 married other husband white male
## 5689 married clerical wife white female
## 5690 notmarried lowskill depchild white female
## 5691 married midskill husband white male
## 5692 divorce highskill tenant white male
## 5693 notmarried lowskill depchild white female
## 5694 divorce clerical single_occ white female
## 5695 married highskill husband white male
## 5696 divorce highskill tenant white female
## 5697 married highskill husband white male
## 5698 notmarried clerical single_occ white male
## 5699 married midskill husband Asian_Pac_Islander male
## 5700 notmarried highskill tenant white male
## 5701 married midskill husband white male
## 5702 married midskill husband white male
## 5703 married midskill husband white male
## 5704 married highskill husband white male
## 5705 divorce lowskill single_occ white female
## 5706 married highskill husband white male
## 5707 notmarried midskill tenant white male
## 5708 married highskill husband white male
## 5709 married highskill husband white male
## 5710 married highskill husband white male
## 5711 married clerical husband white male
## 5712 married clerical husband white male
## 5713 married midskill husband white male
## 5714 notmarried highskill tenant white male
## 5715 married midskill husband white male
## 5716 notmarried lowskill depchild white female
## 5717 notmarried lowskill tenant white male
## 5718 married highskill husband white male
## 5719 married agriculture husband white male
## 5720 divorce midskill tenant white female
## 5721 notmarried other depchild black female
## 5722 divorce midskill single_occ white male
## 5723 notmarried highskill depchild white female
## 5724 notmarried clerical relative white female
## 5725 notmarried lowskill depchild white male
## 5726 married highskill wife white female
## 5727 divorce midskill depchild white male
## 5728 divorce midskill tenant white male
## 5729 married highskill husband white male
## 5730 divorce highskill single_occ white female
## 5731 notmarried highskill tenant white male
## 5732 married highskill depchild white male
## 5733 notmarried highskill depchild white female
## 5734 married highskill husband white male
## 5735 married midskill husband white male
## 5736 notmarried lowskill depchild white male
## 5737 married midskill husband white male
## 5738 married midskill husband black male
## 5739 married midskill husband white male
## 5740 notmarried lowskill depchild white male
## 5741 married lowskill husband white male
## 5742 notmarried midskill depchild white male
## 5743 divorce clerical single_occ white female
## 5744 married midskill husband white male
## 5745 notmarried highskill tenant white male
## 5746 married midskill husband white male
## 5747 notmarried highskill depchild white female
## 5748 married highskill husband white male
## 5749 married highskill husband white male
## 5750 married midskill husband white male
## 5751 divorce highskill single_occ black female
## 5752 married midskill husband white male
## 5753 married midskill husband white male
## 5754 married other wife white female
## 5755 married highskill husband white male
## 5756 married lowskill husband white male
## 5757 married midskill husband white male
## 5758 married highskill husband white male
## 5759 notmarried clerical depchild other female
## 5760 divorce highskill relative white female
## 5761 notmarried highskill tenant white female
## 5762 married highskill husband white male
## 5763 married highskill husband white male
## 5764 notmarried lowskill depchild white female
## 5765 married highskill husband white male
## 5766 married midskill wife white female
## 5767 married other wife white female
## 5768 married midskill husband white male
## 5769 notmarried clerical single_occ black female
## 5770 married midskill husband white male
## 5771 notmarried highskill relative black female
## 5772 married highskill husband Asian_Pac_Islander male
## 5773 divorce lowskill tenant white female
## 5774 married midskill husband white male
## 5775 widowed clerical tenant black female
## 5776 divorce highskill tenant native female
## 5777 married midskill husband white male
## 5778 married clerical husband white male
## 5779 notmarried clerical relative white female
## 5780 notmarried highskill tenant black male
## 5781 divorce highskill tenant white female
## 5782 notmarried clerical depchild white female
## 5783 notmarried highskill tenant white female
## 5784 notmarried highskill depchild white female
## 5785 married lowskill wife white female
## 5786 notmarried highskill depchild white female
## 5787 married midskill husband Asian_Pac_Islander male
## 5788 divorce clerical tenant white female
## 5789 divorce other depchild black female
## 5790 divorce lowskill single_occ white female
## 5791 married midskill husband white male
## 5792 married midskill husband white male
## 5793 married highskill husband white male
## 5794 married highskill husband white male
## 5795 married highskill husband white male
## 5796 married midskill husband white male
## 5797 married clerical husband white male
## 5798 notmarried clerical depchild white male
## 5799 married highskill husband white male
## 5800 notmarried midskill depchild white male
## 5801 divorce lowskill tenant white female
## 5802 notmarried midskill tenant white male
## 5803 divorce highskill single_occ white female
## 5804 divorce other depchild white male
## 5805 notmarried agriculture depchild white male
## 5806 notmarried highskill tenant white female
## 5807 married midskill husband white male
## 5808 notmarried lowskill depchild black male
## 5809 married other husband white male
## 5810 divorce highskill single_occ white female
## 5811 married midskill husband white male
## 5812 married highskill wife black female
## 5813 divorce midskill tenant black male
## 5814 married highskill husband white male
## 5815 divorce midskill tenant white male
## 5816 married highskill husband white male
## 5817 married highskill husband white male
## 5818 married highskill husband white male
## 5819 notmarried lowskill tenant white male
## 5820 widowed lowskill single_occ white female
## 5821 married highskill husband white male
## 5822 married midskill husband white male
## 5823 married highskill wife white female
## 5824 married midskill husband white male
## 5825 married highskill husband white male
## 5826 divorce agriculture single_occ white male
## 5827 notmarried lowskill tenant white male
## 5828 married midskill husband white male
## 5829 notmarried highskill depchild white female
## 5830 notmarried lowskill depchild white male
## 5831 widowed midskill tenant white female
## 5832 married highskill husband white male
## 5833 widowed other tenant white female
## 5834 notmarried highskill depchild black female
## 5835 married lowskill husband white male
## 5836 divorce highskill single_occ white male
## 5837 married highskill husband white male
## 5838 divorce highskill tenant white male
## 5839 notmarried clerical tenant white female
## 5840 married highskill husband white male
## 5841 notmarried midskill tenant white female
## 5842 married highskill relative white male
## 5843 notmarried lowskill tenant white female
## 5844 notmarried lowskill depchild white male
## 5845 notmarried lowskill depchild white male
## 5846 married midskill husband white male
## 5847 notmarried lowskill relative native female
## 5848 divorce midskill depchild white male
## 5849 married highskill husband white male
## 5850 notmarried lowskill depchild white male
## 5851 notmarried lowskill depchild white male
## 5852 notmarried clerical depchild black male
## 5853 notmarried midskill depchild white male
## 5854 divorce other single_occ white female
## 5855 married midskill husband white male
## 5856 married agriculture husband white male
## 5857 married midskill husband white male
## 5858 married midskill husband white male
## 5859 notmarried midskill tenant white male
## 5860 notmarried clerical depchild white female
## 5861 married lowskill husband white male
## 5862 married highskill husband white male
## 5863 married highskill husband white male
## 5864 notmarried highskill tenant white female
## 5865 divorce midskill tenant white male
## 5866 notmarried highskill tenant white female
## 5867 married agriculture husband white male
## 5868 married midskill husband white male
## 5869 divorce highskill depchild white female
## 5870 married midskill husband white male
## 5871 married midskill tenant black male
## 5872 married highskill husband white male
## 5873 notmarried lowskill single_occ black female
## 5874 married midskill husband white male
## 5875 divorce midskill tenant white male
## 5876 married midskill husband white male
## 5877 notmarried highskill tenant white male
## 5878 married agriculture husband white male
## 5879 notmarried lowskill tenant native male
## 5880 notmarried midskill depchild white male
## 5881 married midskill husband white male
## 5882 married midskill husband black male
## capital_gain capital_loss hours_per_week native_region income
## 1 2174 0 40 NorthAmerica <=50K
## 2 0 0 13 NorthAmerica <=50K
## 3 0 0 40 NorthAmerica <=50K
## 4 0 0 40 NorthAmerica <=50K
## 5 0 0 40 CentrAmerica <=50K
## 6 0 0 40 NorthAmerica <=50K
## 7 0 0 16 CentrAmerica <=50K
## 8 0 0 45 NorthAmerica >50K
## 9 14084 0 50 NorthAmerica >50K
## 10 5178 0 40 NorthAmerica >50K
## 11 0 0 80 NorthAmerica >50K
## 12 0 0 40 SAsia >50K
## 13 0 0 30 NorthAmerica <=50K
## 14 0 0 50 NorthAmerica <=50K
## 15 0 0 40 CentrAmerica >50K
## 16 0 0 45 NorthAmerica <=50K
## 17 0 0 35 NorthAmerica <=50K
## 18 0 0 40 NorthAmerica <=50K
## 19 0 0 50 NorthAmerica <=50K
## 20 0 0 45 NorthAmerica >50K
## 21 0 0 60 NorthAmerica >50K
## 22 0 0 20 NorthAmerica <=50K
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## 5760 31-45 36-50
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## 5764 16-30 21-35
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## 5769 31-45 36-50
## 5770 46-60 36-50
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## 5774 31-45 51-65
## 5775 31-45 51-65
## 5776 31-45 36-50
## 5777 31-45 21-35
## 5778 31-45 21-35
## 5779 16-30 1-20
## 5780 31-45 21-35
## 5781 1-15 36-50
## 5782 16-30 21-35
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## 5806 1-15 21-35
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## 5808 16-30 1-20
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## 5810 31-45 36-50
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## 5813 16-30 36-50
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## 5815 31-45 21-35
## 5816 46-60 36-50
## 5817 31-45 21-35
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## 5823 46-60 36-50
## 5824 61-75 36-50
## 5825 31-45 66-75
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## 5829 1-15 1-20
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## 5839 16-30 1-20
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## 5844 1-15 1-20
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## 5846 46-60 36-50
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## 5849 1-15 66-75
## 5850 16-30 1-20
## 5851 1-15 1-20
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## 5880 31-45 1-20
## 5881 31-45 21-35
## 5882 31-45 51-65
## [ reached 'max' / getOption("max.print") -- omitted 26680 rows ]
adult_dum <- adult
# one-hot-encode income
adult_dum$income <- ifelse(adult_dum$income == "<=50K", 0, 1)
# Loop through columns
for (col in names(adult_dum)) {
if (is.factor(adult_dum[[col]])) { # Check if column is a factor
levels <- levels(adult_dum[[col]]) # Get levels of the factor
adult_dum[[col]] <- as.numeric(factor(adult_dum[[col]], levels = levels)) # Convert factor to numeric based on levels
names(adult_dum)[names(adult_dum) == col] <- paste0(col, "_num") # Rename the column
}
}
adult_dum
## age workclass_num similar_pop_count education_level_num years_education
## 1 39 8 77516 8 13
## 2 50 7 83311 8 13
## 3 38 5 215646 2 9
## 4 53 5 234721 2 7
## 5 28 5 338409 8 13
## 6 37 5 284582 3 14
## 7 49 5 160187 2 5
## 8 52 7 209642 2 9
## 9 31 5 45781 3 14
## 10 42 5 159449 8 13
## 11 37 5 280464 1 10
## 12 30 8 141297 8 13
## 13 23 5 122272 8 13
## 14 32 5 205019 1 12
## 15 40 5 121772 1 11
## 16 34 5 245487 7 4
## 17 25 7 176756 2 9
## 18 32 5 186824 2 9
## 19 38 5 28887 2 7
## 20 43 7 292175 3 14
## 21 40 5 193524 5 16
## 22 54 5 302146 2 9
## 23 35 2 76845 2 5
## 24 43 5 117037 2 7
## 25 59 5 109015 2 9
## 26 56 3 216851 8 13
## 27 19 5 168294 2 9
## 28 54 1 180211 1 10
## 29 39 5 367260 2 9
## 30 49 5 193366 2 9
## 31 23 3 190709 1 12
## 32 20 5 266015 1 10
## 33 45 5 386940 8 13
## 34 30 2 59951 1 10
## 35 22 8 311512 1 10
## 36 48 5 242406 2 7
## 37 21 5 197200 1 10
## 38 19 5 544091 2 9
## 39 31 5 84154 1 10
## 40 48 7 265477 1 12
## 41 31 5 507875 2 5
## 42 53 7 88506 8 13
## 43 24 5 172987 8 13
## 44 49 5 94638 2 9
## 45 25 5 289980 2 9
## 46 57 2 337895 8 13
## 47 53 5 144361 2 9
## 48 44 5 128354 3 14
## 49 41 8 101603 1 11
## 50 29 5 271466 1 11
## 51 25 5 32275 1 10
## 52 18 5 226956 2 9
## 53 47 5 51835 8 15
## 54 50 2 251585 8 13
## 55 47 6 109832 2 9
## 56 43 5 237993 1 10
## 57 46 5 216666 6 3
## 58 35 5 56352 1 11
## 59 41 5 147372 2 9
## 60 30 5 188146 2 9
## 61 30 5 59496 8 13
## 62 32 1 293936 7 4
## 63 48 5 149640 2 9
## 64 42 5 116632 5 16
## 65 29 5 105598 1 10
## 66 36 5 155537 2 9
## 67 28 5 183175 1 10
## 68 53 5 169846 2 9
## 69 49 6 191681 1 10
## 70 25 1 200681 1 10
## 71 19 5 101509 1 10
## 72 31 5 309974 8 13
## 73 29 7 162298 8 13
## 74 23 5 211678 1 10
## 75 79 5 124744 1 10
## 76 27 5 213921 2 9
## 77 40 5 32214 1 12
## 78 67 1 212759 2 6
## 79 18 5 309634 2 7
## 80 31 3 125927 7 4
## 81 18 5 446839 2 9
## 82 52 5 276515 8 13
## 83 46 5 51618 2 9
## 84 59 5 159937 2 9
## 85 44 5 343591 2 9
## 86 53 5 346253 2 9
## 87 49 3 268234 2 9
## 88 33 5 202051 3 14
## 89 30 5 54334 2 5
## 90 43 2 410867 5 16
## 91 57 5 249977 1 11
## 92 37 5 286730 1 10
## 93 28 5 212563 1 10
## 94 30 5 117747 2 9
## 95 34 3 226296 8 13
## 96 29 3 115585 1 10
## 97 48 7 191277 5 16
## 98 37 5 202683 1 10
## 99 48 5 171095 1 12
## 100 32 2 249409 2 9
## 101 76 5 124191 3 14
## 102 44 5 198282 8 13
## 103 47 7 149116 3 14
## 104 20 5 188300 1 10
## 105 29 5 103432 2 9
## 106 32 6 317660 2 9
## 107 17 1 304873 2 6
## 108 30 5 194901 2 7
## 109 31 3 189265 2 9
## 110 42 5 124692 2 9
## 111 24 5 432376 8 13
## 112 38 5 65324 8 15
## 113 56 7 335605 2 9
## 114 28 5 377869 1 10
## 115 36 5 102864 2 9
## 116 53 5 95647 2 5
## 117 56 6 303090 1 10
## 118 49 3 197371 1 11
## 119 55 5 247552 1 10
## 120 22 5 102632 2 9
## 121 21 5 199915 1 10
## 122 40 5 118853 8 13
## 123 30 5 77143 8 13
## 124 29 8 267989 8 13
## 125 19 5 301606 1 10
## 126 47 5 287828 8 13
## 127 20 5 111697 1 10
## 128 31 5 114937 1 12
## 129 35 1 129305 2 9
## 130 39 5 365739 1 10
## 131 28 5 69621 1 12
## 132 24 5 43323 2 9
## 133 38 7 120985 2 9
## 134 37 5 254202 8 13
## 135 46 5 146195 1 12
## 136 38 2 125933 3 14
## 137 43 7 56920 2 9
## 138 27 5 163127 1 11
## 139 20 5 34310 1 10
## 140 49 5 81973 1 10
## 141 61 6 66614 2 9
## 142 27 5 232782 1 10
## 143 19 5 316868 1 10
## 144 45 5 196584 1 11
## 145 70 5 105376 1 10
## 146 31 5 185814 2 9
## 147 22 5 175374 1 10
## 148 36 5 108293 2 9
## 149 64 5 181232 2 7
## 150 43 1 174662 1 10
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## 155 52 1 252903 2 9
## 156 48 5 187715 2 9
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## 158 71 7 494223 1 10
## 159 29 5 191535 2 9
## 160 42 5 228456 8 13
## 161 68 1 38317 6 2
## 162 25 5 252752 2 9
## 163 44 6 78374 3 14
## 164 28 5 88419 2 9
## 165 45 7 201080 3 14
## 166 36 5 207157 1 10
## 167 39 2 235485 1 12
## 168 46 8 102628 3 14
## 169 18 5 25828 2 7
## 170 66 3 54826 1 11
## 171 27 5 124953 2 9
## 172 28 8 175325 2 9
## 173 51 5 96062 1 10
## 174 27 5 428030 8 13
## 175 28 8 149624 8 13
## 176 27 5 253814 2 9
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## 181 44 3 181344 1 10
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## 183 30 5 633742 1 10
## 184 40 5 286370 7 4
## 185 37 2 29054 1 10
## 186 34 5 304030 2 9
## 187 41 7 143129 8 13
## 188 53 1 135105 8 13
## 189 31 5 99928 3 14
## 190 58 8 109567 5 16
## 191 38 5 155222 1 10
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## 193 41 3 523910 8 13
## 194 47 5 120939 1 10
## 195 41 2 130760 8 13
## 196 23 5 197387 6 3
## 197 36 5 99374 1 10
## 198 40 2 56795 3 14
## 199 35 5 138992 3 14
## 200 24 7 32921 2 9
## 201 26 5 397317 3 14
## 202 19 1 170653 2 9
## 203 51 5 259323 8 13
## 204 42 3 254817 1 10
## 205 37 8 48211 2 9
## 206 18 5 140164 2 7
## 207 36 5 128757 8 13
## 208 35 5 36270 2 9
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## 211 44 3 160943 2 9
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## 215 54 6 125417 7 4
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## 217 50 5 313321 1 12
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## 220 25 5 255004 2 6
## 221 31 5 197860 1 10
## 222 64 1 187656 6 2
## 223 90 5 51744 2 9
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## 225 53 3 140359 4 1
## 226 18 5 243313 2 9
## 227 60 1 24215 2 6
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## 229 75 5 314209 1 11
## 230 65 5 176796 2 9
## 231 35 5 538583 2 7
## 232 41 5 130408 2 9
## 233 25 5 159732 1 10
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## 235 28 5 76714 8 15
## 236 59 8 268700 2 9
## 237 40 8 170525 1 10
## 238 41 5 180138 8 13
## 239 38 3 115076 3 14
## 240 23 5 115458 2 9
## 241 40 5 347890 8 13
## 242 41 7 196001 2 9
## 243 24 8 273905 1 12
## 244 20 1 119156 1 10
## 245 38 5 179488 1 10
## 246 56 5 203580 2 9
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## 248 32 5 183916 2 9
## 249 40 5 207578 1 12
## 250 45 5 153141 2 9
## 251 41 5 112763 8 15
## 252 42 5 390781 8 13
## 253 59 3 171328 2 6
## 254 19 3 27382 1 10
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## 256 42 7 303044 2 9
## 257 20 5 117789 2 9
## 258 32 5 172579 2 9
## 259 45 5 187666 1 11
## 260 50 5 204518 7 4
## 261 36 5 150042 8 13
## 262 45 5 98092 2 9
## 263 17 5 245918 2 7
## 264 59 5 146013 1 10
## 265 26 5 378322 2 7
## 266 37 6 257295 1 10
## 267 19 1 218956 1 10
## 268 64 5 21174 2 9
## 269 33 5 185480 8 13
## 270 33 5 222205 2 9
## 271 61 5 69867 2 9
## 272 17 5 191260 2 5
## 273 50 7 30653 3 14
## 274 27 3 209109 3 14
## 275 30 5 70377 2 9
## 276 43 5 477983 2 9
## 277 44 5 170924 1 10
## 278 35 5 190174 1 10
## 279 25 5 193787 1 10
## 280 24 5 279472 1 10
## 281 22 5 34918 8 13
## 282 42 3 97688 1 10
## 283 34 5 175413 1 12
## 284 60 5 173960 8 13
## 285 21 5 205759 2 9
## 286 57 2 425161 3 14
## 287 41 5 220531 8 15
## 288 50 5 176609 1 10
## 289 25 5 371987 8 13
## 290 50 5 193884 7 4
## 291 36 5 200352 8 13
## 292 31 5 127595 2 9
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## 294 21 5 231931 1 10
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## 296 65 5 111095 2 9
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## 298 39 1 157443 3 14
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## 5650 32 7 174789 8 13
## 5651 35 5 199753 2 9
## 5652 62 5 122246 1 10
## 5653 56 1 188166 2 9
## 5654 50 5 96586 1 11
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## 5656 41 5 140590 1 10
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## 5658 33 5 260782 1 10
## 5659 38 5 169926 1 12
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## 5661 56 5 192869 2 9
## 5662 19 5 93604 7 4
## 5663 31 5 86958 2 5
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## 5666 72 5 284080 6 2
## 5667 54 5 43269 2 9
## 5668 30 5 190040 8 13
## 5669 51 5 306108 5 16
## 5670 30 5 220148 2 9
## 5671 30 5 381645 8 13
## 5672 32 5 216361 1 10
## 5673 30 5 213722 1 10
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## 5695 44 5 182616 1 11
## 5696 63 5 339473 1 10
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## 5698 51 5 300816 8 13
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## 5700 23 5 149224 2 9
## 5701 49 5 168216 7 4
## 5702 56 5 286487 2 9
## 5703 39 5 305597 2 9
## 5704 39 7 109766 8 15
## 5705 30 7 188798 2 9
## 5706 43 7 240170 8 13
## 5707 31 5 459465 1 10
## 5708 44 3 162506 3 14
## 5709 43 7 145441 8 15
## 5710 37 2 129573 5 16
## 5711 41 5 27444 1 10
## 5712 43 5 195258 2 9
## 5713 47 8 55272 1 10
## 5714 38 7 164526 8 15
## 5715 46 5 27802 1 11
## 5716 19 8 165289 1 10
## 5717 19 5 274657 6 3
## 5718 24 5 317175 8 13
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## 5743 42 5 196001 2 9
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## 5758 57 7 102058 3 14
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## 5766 32 3 217296 2 9
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## 5773 42 5 272910 2 9
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## 5783 23 5 133239 1 11
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## 5794 43 3 233865 2 9
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## 5797 47 2 34845 8 13
## 5798 22 5 206861 1 10
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## 5800 20 5 130840 2 9
## 5801 19 5 415354 2 6
## 5802 27 5 132191 2 9
## 5803 42 5 202466 1 12
## 5804 27 1 224421 1 10
## 5805 23 7 236804 1 10
## 5806 20 5 107658 1 10
## 5807 47 5 102771 2 9
## 5808 17 5 221403 2 8
## 5809 76 1 211574 2 6
## 5810 39 5 52645 1 10
## 5811 25 5 276310 2 5
## 5812 31 5 134613 1 11
## 5813 44 5 215479 2 9
## 5814 53 5 266529 1 11
## 5815 34 5 265807 1 10
## 5816 45 7 67716 1 10
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## 5824 38 7 414991 2 9
## 5825 65 6 338316 1 10
## 5826 49 7 59612 2 6
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## 5829 17 5 27032 2 6
## 5830 19 5 170720 2 8
## 5831 60 5 183162 2 9
## 5832 46 5 192360 8 13
## 5833 78 1 165694 3 14
## 5834 26 5 128553 1 10
## 5835 58 5 209423 6 2
## 5836 37 7 121510 2 9
## 5837 41 5 93793 3 14
## 5838 30 5 133602 8 13
## 5839 19 5 391329 1 10
## 5840 48 5 96359 8 13
## 5841 22 5 203894 1 10
## 5842 50 5 196193 3 14
## 5843 25 5 195994 6 2
## 5844 18 5 50879 2 6
## 5845 21 5 186849 2 9
## 5846 47 5 201127 1 10
## 5847 33 5 110998 2 9
## 5848 39 5 190466 2 9
## 5849 67 7 173935 8 13
## 5850 19 5 167140 1 10
## 5851 18 5 110230 2 6
## 5852 36 5 287658 2 9
## 5853 23 5 224954 1 10
## 5854 25 1 394820 1 10
## 5855 40 5 37618 1 10
## 5856 73 7 29306 2 9
## 5857 35 5 37314 1 10
## 5858 31 5 420749 1 12
## 5859 20 5 482732 2 6
## 5860 20 5 206215 2 9
## 5861 27 5 101364 2 9
## 5862 66 6 185369 2 6
## 5863 66 5 216856 3 14
## 5864 64 5 256019 3 14
## 5865 48 5 348144 1 10
## 5866 24 5 190293 8 13
## 5867 51 7 25932 2 9
## 5868 25 5 176729 8 13
## 5869 33 5 166961 2 7
## 5870 50 5 86373 2 9
## 5871 51 5 320513 7 4
## 5872 34 8 190290 8 13
## 5873 41 3 111891 7 4
## 5874 30 7 45796 1 10
## 5875 59 5 108496 1 10
## 5876 41 7 120539 1 10
## 5877 36 7 164526 3 14
## 5878 37 5 323155 6 2
## 5879 28 5 65389 2 9
## 5880 19 5 414871 2 9
## 5881 28 5 161607 1 10
## 5882 62 5 224953 2 6
## marital_status_num occupation_num household_role_num race_num gender_num
## 1 3 2 3 2 2
## 2 2 3 1 2 2
## 3 1 4 3 2 2
## 4 2 4 1 3 2
## 5 2 3 2 3 1
## 6 2 3 2 2 1
## 7 2 4 3 3 1
## 8 2 3 1 2 2
## 9 3 3 3 2 1
## 10 2 3 1 2 2
## 11 2 3 1 3 2
## 12 2 3 1 5 2
## 13 3 2 6 2 1
## 14 3 3 3 3 2
## 15 2 5 1 5 2
## 16 2 5 1 4 2
## 17 3 1 6 2 2
## 18 3 5 4 2 2
## 19 2 3 1 2 2
## 20 1 3 4 2 1
## 21 2 3 1 2 2
## 22 1 4 4 3 1
## 23 2 1 1 3 2
## 24 2 5 1 2 2
## 25 1 3 4 2 1
## 26 2 3 1 2 2
## 27 3 5 6 2 2
## 28 2 6 1 5 2
## 29 1 3 3 2 2
## 30 2 5 1 2 2
## 31 3 3 3 2 2
## 32 3 3 6 3 2
## 33 1 3 6 2 2
## 34 2 2 6 2 2
## 35 2 4 1 3 2
## 36 3 5 4 2 2
## 37 3 5 6 2 2
## 38 2 2 2 2 1
## 39 2 3 1 2 2
## 40 2 3 1 2 2
## 41 2 5 1 2 2
## 42 2 3 1 2 2
## 43 2 3 1 2 2
## 44 1 2 4 2 1
## 45 3 4 3 2 2
## 46 2 3 1 3 2
## 47 2 5 1 2 2
## 48 1 3 4 2 1
## 49 2 5 1 2 2
## 50 3 3 3 2 2
## 51 2 3 2 1 1
## 52 3 4 6 2 1
## 53 2 3 2 2 1
## 54 1 3 3 2 2
## 55 1 3 3 2 2
## 56 2 3 1 2 2
## 57 2 5 1 2 2
## 58 2 4 1 2 2
## 59 2 2 1 2 2
## 60 2 5 1 2 2
## 61 2 3 1 2 2
## 62 2 6 3 2 2
## 63 2 5 1 2 2
## 64 2 3 1 2 2
## 65 1 3 3 2 2
## 66 2 5 1 2 2
## 67 1 2 3 2 1
## 68 2 2 2 2 1
## 69 2 3 1 2 2
## 70 3 6 6 2 2
## 71 3 3 6 2 2
## 72 1 3 6 3 1
## 73 2 3 1 2 2
## 74 3 5 3 2 2
## 75 2 3 5 2 2
## 76 3 4 6 2 2
## 77 2 2 1 2 2
## 78 2 6 1 2 2
## 79 3 4 6 2 1
## 80 2 1 1 2 2
## 81 3 3 3 2 2
## 82 2 4 1 2 2
## 83 2 4 2 2 1
## 84 2 3 1 2 2
## 85 1 5 3 2 1
## 86 1 3 6 2 1
## 87 2 3 1 2 2
## 88 2 3 1 2 2
## 89 3 3 3 2 2
## 90 3 3 3 2 1
## 91 2 3 1 2 2
## 92 1 5 4 2 1
## 93 1 5 4 3 1
## 94 2 3 2 5 1
## 95 2 3 1 2 2
## 96 3 4 3 2 2
## 97 2 3 1 2 2
## 98 2 3 1 2 2
## 99 1 3 4 2 1
## 100 3 4 6 3 2
## 101 2 3 1 2 2
## 102 2 3 1 2 2
## 103 3 3 3 2 1
## 104 3 3 6 2 1
## 105 3 5 3 2 2
## 106 2 5 1 2 2
## 107 3 6 6 2 1
## 108 3 4 6 2 2
## 109 3 2 3 2 1
## 110 2 4 1 2 2
## 111 3 3 5 2 2
## 112 2 3 1 2 2
## 113 2 4 1 2 2
## 114 2 3 2 2 1
## 115 3 5 6 2 1
## 116 2 4 1 2 2
## 117 2 3 1 2 2
## 118 2 5 1 3 2
## 119 2 3 1 2 2
## 120 3 5 3 2 2
## 121 3 4 6 2 1
## 122 2 3 1 2 2
## 123 3 3 6 3 2
## 124 2 3 1 2 2
## 125 3 4 6 3 2
## 126 2 3 2 2 1
## 127 3 2 6 2 1
## 128 2 2 1 2 2
## 129 2 6 1 2 2
## 130 1 5 3 2 2
## 131 3 3 3 2 1
## 132 3 4 3 2 1
## 133 2 5 1 2 2
## 134 2 3 1 2 2
## 135 1 3 3 3 1
## 136 2 3 1 2 2
## 137 2 5 1 2 2
## 138 2 2 2 2 1
## 139 3 3 6 2 2
## 140 2 5 1 5 2
## 141 2 5 1 2 2
## 142 3 3 6 2 1
## 143 3 4 6 2 2
## 144 3 3 3 2 1
## 145 3 3 5 2 2
## 146 3 5 4 3 1
## 147 2 4 1 2 2
## 148 4 4 4 2 1
## 149 2 5 1 2 2
## 150 1 6 3 2 1
## 151 1 2 4 2 1
## 152 3 2 3 2 1
## 153 3 3 5 5 1
## 154 3 5 6 2 2
## 155 1 6 3 2 2
## 156 2 5 1 2 2
## 157 3 4 3 2 2
## 158 1 3 4 3 2
## 159 1 5 3 2 2
## 160 1 4 5 3 2
## 161 1 6 3 2 1
## 162 3 4 4 2 1
## 163 1 3 4 5 1
## 164 3 3 3 5 1
## 165 2 3 1 2 2
## 166 1 4 4 2 1
## 167 3 3 3 2 2
## 168 4 3 4 2 2
## 169 3 4 6 2 2
## 170 4 3 3 2 1
## 171 3 4 3 2 2
## 172 2 3 1 2 2
## 173 2 3 1 2 2
## 174 3 5 3 2 2
## 175 2 3 1 2 2
## 176 2 3 4 2 1
## 177 3 5 6 3 2
## 178 3 4 3 3 2
## 179 3 4 6 2 2
## 180 2 3 1 2 2
## 181 2 3 1 3 2
## 182 1 2 3 2 1
## 183 3 5 3 3 2
## 184 2 5 1 2 2
## 185 2 2 1 2 2
## 186 2 2 1 3 2
## 187 1 3 3 2 1
## 188 1 6 3 2 1
## 189 2 3 2 2 1
## 190 2 3 1 2 2
## 191 1 5 3 3 1
## 192 2 5 1 2 2
## 193 2 5 1 3 2
## 194 2 3 1 2 2
## 195 2 3 1 2 2
## 196 2 5 5 2 2
## 197 1 5 3 2 2
## 198 3 3 3 2 1
## 199 2 3 5 2 2
## 200 3 3 3 2 2
## 201 3 3 3 2 1
## 202 3 6 6 2 2
## 203 2 3 1 2 2
## 204 3 3 3 2 1
## 205 1 2 4 2 1
## 206 3 3 6 2 1
## 207 2 4 1 3 2
## 208 1 5 3 2 2
## 209 2 3 2 2 1
## 210 3 3 6 2 1
## 211 2 5 1 3 2
## 212 2 5 1 2 2
## 213 3 3 3 4 1
## 214 2 5 1 5 2
## 215 2 5 1 2 2
## 216 3 3 3 3 2
## 217 1 3 3 2 1
## 218 2 3 1 2 2
## 219 2 3 1 2 2
## 220 3 5 3 2 2
## 221 2 4 1 2 2
## 222 1 6 3 2 2
## 223 3 4 3 3 2
## 224 2 2 1 3 2
## 225 3 5 3 2 1
## 226 3 3 6 2 1
## 227 1 6 3 4 1
## 228 2 1 1 2 2
## 229 4 2 3 2 1
## 230 1 2 3 2 1
## 231 1 5 3 3 2
## 232 1 3 4 3 1
## 233 3 2 3 2 2
## 234 1 5 5 1 1
## 235 3 3 3 2 2
## 236 2 4 1 2 2
## 237 3 2 3 2 1
## 238 2 3 1 2 2
## 239 2 3 1 2 2
## 240 3 5 6 2 2
## 241 2 3 1 2 2
## 242 2 4 2 2 1
## 243 2 3 1 2 2
## 244 3 6 6 2 2
## 245 1 5 3 2 2
## 246 2 2 1 2 2
## 247 2 2 1 2 2
## 248 3 4 3 2 1
## 249 2 3 1 2 2
## 250 2 2 1 2 2
## 251 2 3 2 2 1
## 252 2 2 2 3 1
## 253 4 4 4 3 1
## 254 3 2 6 2 2
## 255 3 5 3 2 2
## 256 2 1 1 5 2
## 257 3 4 6 2 1
## 258 1 4 3 2 1
## 259 4 3 3 2 1
## 260 1 5 3 2 2
## 261 1 3 6 2 1
## 262 2 3 1 2 2
## 263 3 4 6 2 2
## 264 2 3 1 2 2
## 265 2 5 1 2 2
## 266 2 3 1 5 2
## 267 3 6 6 2 2
## 268 2 3 1 2 2
## 269 3 3 3 2 1
## 270 2 5 2 2 1
## 271 2 3 1 2 2
## 272 3 4 6 2 2
## 273 2 1 1 2 2
## 274 3 3 6 2 2
## 275 1 3 6 2 1
## 276 2 4 1 3 2
## 277 2 5 1 2 2
## 278 3 3 3 2 1
## 279 3 3 6 2 1
## 280 2 5 2 2 1
## 281 3 3 3 2 1
## 282 2 5 1 2 2
## 283 1 3 4 3 1
## 284 1 3 3 2 1
## 285 3 4 6 2 2
## 286 2 3 1 2 2
## 287 2 3 1 2 2
## 288 1 4 3 2 2
## 289 3 3 3 2 1
## 290 2 5 1 2 2
## 291 2 3 1 2 2
## 292 1 3 3 2 1
## 293 3 3 3 2 2
## 294 3 3 6 2 2
## 295 3 3 4 3 1
## 296 2 5 1 2 2
## 297 1 3 3 2 1
## 298 2 6 2 5 1
## 299 3 5 6 2 2
## 300 1 3 3 2 2
## 301 2 2 1 2 2
## 302 3 4 3 5 1
## 303 2 5 1 2 2
## 304 2 3 1 2 2
## 305 2 2 2 5 1
## 306 1 2 3 2 1
## 307 3 3 3 2 2
## 308 3 3 3 2 1
## 309 2 2 1 2 2
## 310 2 1 1 2 2
## 311 3 3 3 2 2
## 312 2 3 1 5 2
## 313 3 6 6 3 1
## 314 1 3 3 3 1
## 315 3 3 6 2 2
## 316 3 5 3 2 2
## 317 2 3 1 2 2
## 318 2 5 5 2 1
## 319 3 3 3 2 1
## 320 4 4 3 2 1
## 321 2 3 1 2 2
## 322 2 5 1 2 2
## 323 1 5 3 2 2
## 324 3 3 3 2 1
## 325 2 5 1 2 2
## 326 2 1 1 2 2
## 327 3 6 6 3 1
## 328 2 3 2 2 1
## 329 2 4 1 2 2
## 330 3 5 3 2 2
## 331 3 5 3 3 2
## 332 3 2 3 2 2
## 333 3 4 3 2 2
## 334 2 2 1 2 2
## 335 2 5 1 2 2
## 336 3 4 5 2 2
## 337 3 5 5 2 2
## 338 3 3 3 2 2
## 339 3 3 4 3 2
## 340 2 4 1 3 2
## 341 3 3 3 2 2
## 342 2 5 1 2 2
## 343 2 3 1 2 2
## 344 3 1 3 2 2
## 345 3 3 6 3 1
## 346 3 3 3 2 2
## 347 2 6 1 2 2
## 348 1 6 4 2 1
## 349 2 4 3 2 2
## 350 3 3 6 2 2
## 351 2 3 1 2 2
## 352 2 4 1 2 2
## 353 2 3 1 2 2
## 354 2 5 1 2 2
## 355 2 6 1 2 2
## 356 2 2 1 2 2
## 357 4 4 4 1 2
## 358 2 3 1 2 2
## 359 2 2 2 2 1
## 360 2 5 1 2 2
## 361 2 4 2 2 1
## 362 2 3 1 2 2
## 363 2 5 1 2 2
## 364 1 3 3 2 2
## 365 2 3 3 2 2
## 366 2 5 1 2 2
## 367 2 3 1 2 2
## 368 3 3 3 2 1
## 369 1 3 3 2 1
## 370 1 3 4 2 1
## 371 3 2 4 2 1
## 372 3 4 6 2 2
## 373 2 5 1 2 2
## 374 2 5 1 3 2
## 375 3 5 3 3 2
## 376 3 2 6 2 1
## 377 2 5 2 2 1
## 378 3 3 3 2 2
## 379 1 3 3 2 2
## 380 2 3 1 2 2
## 381 1 5 3 2 2
## 382 1 5 3 2 1
## 383 2 5 1 2 2
## 384 1 3 3 2 1
## 385 2 5 2 2 1
## 386 3 4 3 2 1
## 387 1 5 3 2 2
## 388 2 2 2 2 1
## 389 3 2 6 2 1
## 390 3 4 5 2 1
## 391 2 4 2 2 1
## 392 3 5 3 2 2
## 393 1 5 3 2 2
## 394 2 3 1 2 2
## 395 3 4 3 2 1
## 396 2 3 1 2 2
## 397 1 4 4 2 1
## 398 3 6 5 2 1
## 399 2 3 1 2 2
## 400 2 3 1 2 2
## 401 3 4 6 2 2
## 402 3 4 3 2 1
## 403 2 3 1 2 2
## 404 1 3 3 2 1
## 405 2 4 1 1 2
## 406 2 3 1 2 2
## 407 2 2 1 2 2
## 408 2 5 1 2 2
## 409 2 6 2 2 1
## 410 2 3 1 2 2
## 411 1 4 3 3 1
## 412 3 4 4 3 1
## 413 1 3 4 2 1
## 414 2 3 1 2 2
## 415 2 5 1 2 2
## 416 1 5 3 2 2
## 417 2 5 1 2 2
## 418 3 4 6 2 1
## 419 1 5 3 3 2
## 420 1 5 4 2 1
## 421 2 3 1 2 2
## 422 3 4 6 2 2
## 423 2 3 2 2 1
## 424 1 1 3 2 2
## 425 3 5 4 2 1
## 426 2 5 1 2 2
## 427 3 3 3 2 2
## 428 3 4 3 2 2
## 429 2 3 1 2 2
## 430 2 3 1 2 2
## 431 4 6 3 2 2
## 432 3 6 6 2 2
## 433 2 3 3 2 1
## 434 2 4 2 2 1
## 435 3 5 6 5 2
## 436 2 3 1 2 2
## 437 3 1 3 3 2
## 438 3 3 3 2 1
## 439 2 2 1 2 2
## 440 2 2 2 2 1
## 441 3 3 3 2 2
## 442 1 2 3 2 1
## 443 3 4 6 2 2
## 444 2 3 1 2 2
## 445 3 5 5 2 2
## 446 3 3 3 2 2
## 447 4 3 4 3 1
## 448 2 5 1 4 2
## 449 2 5 1 2 2
## 450 3 6 6 2 1
## 451 3 5 6 3 1
## 452 2 5 1 2 2
## 453 2 5 1 2 2
## 454 2 3 1 3 2
## 455 2 3 2 2 1
## 456 2 5 1 5 2
## 457 2 3 2 2 1
## 458 2 5 1 3 2
## 459 2 5 1 2 2
## 460 2 6 1 2 2
## 461 3 1 6 2 2
## 462 2 5 1 3 2
## 463 2 3 1 2 2
## 464 2 5 4 2 2
## 465 3 3 3 2 1
## 466 2 2 2 2 1
## 467 1 5 4 2 2
## 468 2 5 1 2 2
## 469 2 3 1 2 2
## 470 2 3 2 2 1
## 471 3 3 4 2 2
## 472 3 6 6 2 2
## 473 3 5 3 2 2
## 474 3 5 3 2 2
## 475 1 4 3 2 1
## 476 3 5 3 2 1
## 477 3 4 3 2 2
## 478 3 4 6 2 2
## 479 3 4 3 2 2
## 480 3 4 4 2 1
## 481 2 5 1 2 2
## 482 2 5 1 2 2
## 483 3 3 3 2 2
## 484 2 5 4 2 1
## 485 3 6 5 3 2
## 486 2 2 6 3 1
## 487 2 6 1 2 2
## 488 2 5 1 2 2
## 489 1 3 4 2 1
## 490 2 3 1 2 2
## 491 3 4 3 2 1
## 492 1 2 3 2 2
## 493 3 3 3 2 1
## 494 1 3 4 2 1
## 495 3 5 6 2 2
## 496 1 2 4 2 1
## 497 3 5 6 2 2
## 498 3 4 6 2 2
## 499 3 3 3 2 1
## 500 2 6 1 2 2
## 501 3 1 3 2 2
## 502 2 5 1 2 2
## 503 2 2 1 2 2
## 504 1 4 4 2 1
## 505 3 3 3 2 1
## 506 3 3 3 3 2
## 507 3 3 6 2 2
## 508 2 3 1 2 2
## 509 1 2 4 3 1
## 510 1 4 4 2 1
## 511 2 4 4 2 2
## 512 4 6 4 3 1
## 513 3 5 3 2 2
## 514 2 3 1 2 2
## 515 1 5 3 2 2
## 516 4 6 4 2 1
## 517 3 2 3 4 1
## 518 3 6 6 2 2
## 519 3 6 4 2 1
## 520 2 3 1 2 2
## 521 2 3 1 2 2
## 522 2 3 1 2 2
## 523 1 4 3 3 2
## 524 2 3 1 2 2
## 525 1 5 4 2 2
## 526 2 3 2 2 1
## 527 2 3 1 2 2
## 528 1 2 3 2 1
## 529 2 5 1 2 2
## 530 2 3 1 2 2
## 531 1 5 4 1 1
## 532 3 5 3 2 2
## 533 2 4 1 3 2
## 534 2 3 2 2 1
## 535 2 3 1 2 2
## 536 2 3 1 2 2
## 537 4 4 3 3 1
## 538 1 5 3 2 2
## 539 3 1 3 2 1
## 540 3 6 4 3 1
## 541 2 5 1 2 2
## 542 3 3 6 2 2
## 543 3 4 4 2 1
## 544 3 5 3 2 2
## 545 2 3 1 2 2
## 546 3 4 3 2 1
## 547 2 4 2 2 1
## 548 2 3 1 2 2
## 549 3 4 6 2 2
## 550 3 5 4 2 2
## 551 1 3 3 2 2
## 552 1 4 4 2 1
## 553 4 2 4 2 1
## 554 2 5 2 3 1
## 555 1 5 4 3 1
## 556 3 5 3 2 1
## 557 2 5 1 2 2
## 558 1 2 4 2 1
## 559 2 3 2 2 1
## 560 2 4 1 2 2
## 561 3 5 3 2 2
## 562 2 3 1 2 2
## 563 2 3 1 2 2
## 564 3 4 4 3 1
## 565 2 3 1 2 2
## 566 3 4 6 4 2
## 567 2 3 1 2 2
## 568 1 4 4 2 1
## 569 1 5 3 2 2
## 570 1 3 4 2 2
## 571 3 5 6 2 2
## 572 2 3 1 2 2
## 573 3 3 6 2 2
## 574 2 5 1 2 2
## 575 3 3 3 2 1
## 576 2 3 2 2 2
## 577 3 6 6 2 2
## 578 1 3 4 2 1
## 579 3 3 3 2 1
## 580 2 5 1 2 2
## 581 2 6 1 2 2
## 582 2 3 1 2 2
## 583 2 5 1 2 2
## 584 2 5 1 2 2
## 585 3 3 3 2 2
## 586 3 3 6 2 1
## 587 3 2 3 2 2
## 588 3 4 6 2 2
## 589 2 5 1 2 2
## 590 1 3 3 2 2
## 591 2 6 1 2 2
## 592 2 6 2 5 1
## 593 3 5 3 2 2
## 594 2 3 1 2 2
## 595 3 2 6 2 1
## 596 3 3 6 2 2
## 597 3 6 4 4 1
## 598 2 3 1 2 2
## 599 3 3 3 2 2
## 600 3 3 3 2 1
## 601 3 3 3 2 2
## 602 3 2 6 2 2
## 603 1 4 3 2 1
## 604 2 4 1 2 2
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## 5531 2 3 2 3 1
## 5532 2 5 1 2 2
## 5533 1 3 3 2 1
## 5534 1 3 4 2 1
## 5535 1 4 4 2 1
## 5536 3 4 6 2 2
## 5537 2 5 1 3 2
## 5538 2 3 1 2 2
## 5539 2 3 1 2 2
## 5540 3 3 3 2 2
## 5541 2 4 1 2 2
## 5542 3 5 3 2 2
## 5543 2 3 2 2 1
## 5544 2 3 1 2 2
## 5545 1 3 3 2 2
## 5546 3 2 6 2 2
## 5547 3 4 3 3 1
## 5548 2 3 1 2 2
## 5549 1 6 3 2 2
## 5550 2 3 1 2 2
## 5551 2 5 1 2 2
## 5552 1 3 3 3 2
## 5553 2 3 1 2 2
## 5554 3 3 6 2 2
## 5555 2 5 1 2 2
## 5556 2 3 1 2 2
## 5557 3 3 6 2 1
## 5558 1 4 4 2 1
## 5559 2 3 1 2 2
## 5560 2 2 3 2 1
## 5561 2 3 1 5 2
## 5562 4 6 3 2 1
## 5563 2 3 1 2 2
## 5564 1 5 3 2 2
## 5565 2 3 1 2 2
## 5566 3 6 5 2 1
## 5567 2 3 1 2 2
## 5568 1 5 3 2 2
## 5569 2 5 1 3 2
## 5570 3 3 3 2 1
## 5571 2 5 1 2 2
## 5572 1 2 5 2 1
## 5573 1 3 3 2 2
## 5574 2 5 1 2 2
## 5575 3 3 3 2 2
## 5576 2 1 1 2 2
## 5577 3 5 3 2 2
## 5578 2 5 1 2 2
## 5579 3 4 3 2 1
## 5580 3 5 3 2 1
## 5581 2 3 1 2 2
## 5582 2 5 1 2 2
## 5583 2 3 1 2 2
## 5584 3 5 6 2 2
## 5585 2 3 1 2 2
## 5586 1 2 4 3 1
## 5587 2 3 1 1 2
## 5588 2 4 1 2 2
## 5589 2 3 1 2 2
## 5590 2 3 1 2 2
## 5591 4 6 3 2 1
## 5592 3 3 3 2 1
## 5593 3 3 5 5 2
## 5594 2 3 1 2 2
## 5595 3 4 5 3 1
## 5596 2 5 1 2 2
## 5597 2 3 1 2 2
## 5598 3 5 5 2 2
## 5599 3 4 6 2 2
## 5600 3 3 3 2 2
## 5601 2 3 1 2 2
## 5602 2 3 1 2 2
## 5603 2 3 1 2 2
## 5604 3 3 6 5 2
## 5605 3 4 5 2 2
## 5606 1 3 4 3 1
## 5607 2 3 1 2 2
## 5608 3 5 3 3 2
## 5609 1 5 4 2 2
## 5610 1 3 4 2 1
## 5611 2 3 1 2 2
## 5612 2 3 6 2 1
## 5613 2 2 1 2 2
## 5614 3 3 6 3 2
## 5615 3 5 3 2 2
## 5616 1 1 3 2 1
## 5617 3 4 6 2 1
## 5618 3 3 3 5 1
## 5619 3 3 3 2 2
## 5620 2 4 1 2 2
## 5621 2 5 1 2 2
## 5622 3 5 6 2 2
## 5623 1 4 4 2 1
## 5624 2 6 1 1 2
## 5625 2 2 2 4 1
## 5626 2 3 1 2 2
## 5627 2 4 3 3 1
## 5628 1 2 4 2 1
## 5629 2 1 1 2 2
## 5630 2 5 5 5 2
## 5631 1 3 3 2 1
## 5632 2 4 1 2 2
## 5633 2 6 2 2 1
## 5634 3 2 6 2 2
## 5635 2 3 1 2 2
## 5636 1 3 4 2 2
## 5637 2 5 3 2 2
## 5638 3 3 6 2 1
## 5639 3 5 6 2 2
## 5640 2 3 1 2 2
## 5641 2 4 1 3 2
## 5642 2 5 1 2 2
## 5643 2 3 1 2 2
## 5644 2 3 1 2 2
## 5645 1 3 3 2 1
## 5646 1 4 3 2 1
## 5647 1 5 3 2 2
## 5648 3 2 3 2 2
## 5649 1 3 3 2 2
## 5650 2 3 1 2 2
## 5651 3 5 6 2 2
## 5652 3 5 3 2 1
## 5653 2 6 1 2 2
## 5654 2 4 1 2 2
## 5655 3 3 3 2 2
## 5656 3 3 3 3 2
## 5657 3 4 6 2 1
## 5658 2 5 1 2 2
## 5659 2 3 2 2 1
## 5660 3 3 3 2 2
## 5661 2 5 1 2 2
## 5662 3 5 6 2 2
## 5663 2 3 2 2 1
## 5664 1 5 3 1 2
## 5665 1 4 4 2 2
## 5666 1 4 3 3 2
## 5667 2 5 1 2 2
## 5668 3 5 3 2 1
## 5669 3 3 3 2 2
## 5670 2 5 1 2 2
## 5671 3 3 3 2 2
## 5672 2 3 1 3 2
## 5673 3 3 3 2 2
## 5674 2 2 1 2 2
## 5675 1 2 6 2 1
## 5676 1 3 3 2 1
## 5677 3 4 5 2 1
## 5678 3 3 3 2 2
## 5679 2 2 4 2 1
## 5680 2 6 1 2 2
## 5681 2 3 1 2 2
## 5682 2 3 1 2 2
## 5683 2 3 1 2 2
## 5684 1 3 3 2 1
## 5685 3 5 6 2 2
## 5686 2 3 1 2 2
## 5687 4 2 3 2 1
## 5688 2 6 1 2 2
## 5689 2 2 2 2 1
## 5690 3 4 6 2 1
## 5691 2 5 1 2 2
## 5692 1 3 3 2 2
## 5693 3 4 6 2 1
## 5694 1 2 4 2 1
## 5695 2 3 1 2 2
## 5696 1 3 3 2 1
## 5697 2 3 1 2 2
## 5698 3 2 4 2 2
## 5699 2 5 1 5 2
## 5700 3 3 3 2 2
## 5701 2 5 1 2 2
## 5702 2 5 1 2 2
## 5703 2 5 1 2 2
## 5704 2 3 1 2 2
## 5705 1 4 4 2 1
## 5706 2 3 1 2 2
## 5707 3 5 3 2 2
## 5708 2 3 1 2 2
## 5709 2 3 1 2 2
## 5710 2 3 1 2 2
## 5711 2 2 1 2 2
## 5712 2 2 1 2 2
## 5713 2 5 1 2 2
## 5714 3 3 3 2 2
## 5715 2 5 1 2 2
## 5716 3 4 6 2 1
## 5717 3 4 3 2 2
## 5718 2 3 1 2 2
## 5719 2 1 1 2 2
## 5720 1 5 3 2 1
## 5721 3 6 6 3 1
## 5722 1 5 4 2 2
## 5723 3 3 6 2 1
## 5724 3 2 5 2 1
## 5725 3 4 6 2 2
## 5726 2 3 2 2 1
## 5727 1 5 6 2 2
## 5728 1 5 3 2 2
## 5729 2 3 1 2 2
## 5730 1 3 4 2 1
## 5731 3 3 3 2 2
## 5732 2 3 6 2 2
## 5733 3 3 6 2 1
## 5734 2 3 1 2 2
## 5735 2 5 1 2 2
## 5736 3 4 6 2 2
## 5737 2 5 1 2 2
## 5738 2 5 1 3 2
## 5739 2 5 1 2 2
## 5740 3 4 6 2 2
## 5741 2 4 1 2 2
## 5742 3 5 6 2 2
## 5743 1 2 4 2 1
## 5744 2 5 1 2 2
## 5745 3 3 3 2 2
## 5746 2 5 1 2 2
## 5747 3 3 6 2 1
## 5748 2 3 1 2 2
## 5749 2 3 1 2 2
## 5750 2 5 1 2 2
## 5751 1 3 4 3 1
## 5752 2 5 1 2 2
## 5753 2 5 1 2 2
## 5754 2 6 2 2 1
## 5755 2 3 1 2 2
## 5756 2 4 1 2 2
## 5757 2 5 1 2 2
## 5758 2 3 1 2 2
## 5759 3 2 6 1 1
## 5760 1 3 5 2 1
## 5761 3 3 3 2 1
## 5762 2 3 1 2 2
## 5763 2 3 1 2 2
## 5764 3 4 6 2 1
## 5765 2 3 1 2 2
## 5766 2 5 2 2 1
## 5767 2 6 2 2 1
## 5768 2 5 1 2 2
## 5769 3 2 4 3 1
## 5770 2 5 1 2 2
## 5771 3 3 5 3 1
## 5772 2 3 1 5 2
## 5773 1 4 3 2 1
## 5774 2 5 1 2 2
## 5775 4 2 3 3 1
## 5776 1 3 3 4 1
## 5777 2 5 1 2 2
## 5778 2 2 1 2 2
## 5779 3 2 5 2 1
## 5780 3 3 3 3 2
## 5781 1 3 3 2 1
## 5782 3 2 6 2 1
## 5783 3 3 3 2 1
## 5784 3 3 6 2 1
## 5785 2 4 2 2 1
## 5786 3 3 6 2 1
## 5787 2 5 1 5 2
## 5788 1 2 3 2 1
## 5789 1 6 6 3 1
## 5790 1 4 4 2 1
## 5791 2 5 1 2 2
## 5792 2 5 1 2 2
## 5793 2 3 1 2 2
## 5794 2 3 1 2 2
## 5795 2 3 1 2 2
## 5796 2 5 1 2 2
## 5797 2 2 1 2 2
## 5798 3 2 6 2 2
## 5799 2 3 1 2 2
## 5800 3 5 6 2 2
## 5801 1 4 3 2 1
## 5802 3 5 3 2 2
## 5803 1 3 4 2 1
## 5804 1 6 6 2 2
## 5805 3 1 6 2 2
## 5806 3 3 3 2 1
## 5807 2 5 1 2 2
## 5808 3 4 6 3 2
## 5809 2 6 1 2 2
## 5810 1 3 4 2 1
## 5811 2 5 1 2 2
## 5812 2 3 2 3 1
## 5813 1 5 3 3 2
## 5814 2 3 1 2 2
## 5815 1 5 3 2 2
## 5816 2 3 1 2 2
## 5817 2 3 1 2 2
## 5818 2 3 1 2 2
## 5819 3 4 3 2 2
## 5820 4 4 4 2 1
## 5821 2 3 1 2 2
## 5822 2 5 1 2 2
## 5823 2 3 2 2 1
## 5824 2 5 1 2 2
## 5825 2 3 1 2 2
## 5826 1 1 4 2 2
## 5827 3 4 3 2 2
## 5828 2 5 1 2 2
## 5829 3 3 6 2 1
## 5830 3 4 6 2 2
## 5831 4 5 3 2 1
## 5832 2 3 1 2 2
## 5833 4 6 3 2 1
## 5834 3 3 6 3 1
## 5835 2 4 1 2 2
## 5836 1 3 4 2 2
## 5837 2 3 1 2 2
## 5838 1 3 3 2 2
## 5839 3 2 3 2 1
## 5840 2 3 1 2 2
## 5841 3 5 3 2 1
## 5842 2 3 5 2 2
## 5843 3 4 3 2 1
## 5844 3 4 6 2 2
## 5845 3 4 6 2 2
## 5846 2 5 1 2 2
## 5847 3 4 5 4 1
## 5848 1 5 6 2 2
## 5849 2 3 1 2 2
## 5850 3 4 6 2 2
## 5851 3 4 6 2 2
## 5852 3 2 6 3 2
## 5853 3 5 6 2 2
## 5854 1 6 4 2 1
## 5855 2 5 1 2 2
## 5856 2 1 1 2 2
## 5857 2 5 1 2 2
## 5858 2 5 1 2 2
## 5859 3 5 3 2 2
## 5860 3 2 6 2 1
## 5861 2 4 1 2 2
## 5862 2 3 1 2 2
## 5863 2 3 1 2 2
## 5864 3 3 3 2 1
## 5865 1 5 3 2 2
## 5866 3 3 3 2 1
## 5867 2 1 1 2 2
## 5868 2 5 1 2 2
## 5869 1 3 6 2 1
## 5870 2 5 1 2 2
## 5871 2 5 3 3 2
## 5872 2 3 1 2 2
## 5873 3 4 4 3 1
## 5874 2 5 1 2 2
## 5875 1 5 3 2 2
## 5876 2 5 1 2 2
## 5877 3 3 3 2 2
## 5878 2 1 1 2 2
## 5879 3 4 3 4 2
## 5880 3 5 6 2 2
## 5881 2 5 1 2 2
## 5882 2 5 1 3 2
## capital_gain capital_loss hours_per_week native_region_num income
## 1 2174 0 40 4 0
## 2 0 0 13 4 0
## 3 0 0 40 4 0
## 4 0 0 40 4 0
## 5 0 0 40 1 0
## 6 0 0 40 4 0
## 7 0 0 16 1 0
## 8 0 0 45 4 1
## 9 14084 0 50 4 1
## 10 5178 0 40 4 1
## 11 0 0 80 4 1
## 12 0 0 40 5 1
## 13 0 0 30 4 0
## 14 0 0 50 4 0
## 15 0 0 40 1 1
## 16 0 0 45 4 0
## 17 0 0 35 4 0
## 18 0 0 40 4 0
## 19 0 0 50 4 0
## 20 0 0 45 4 1
## 21 0 0 60 4 1
## 22 0 0 20 4 0
## 23 0 0 40 4 0
## 24 0 2042 40 4 0
## 25 0 0 40 4 0
## 26 0 0 40 4 1
## 27 0 0 40 4 0
## 28 0 0 60 6 1
## 29 0 0 80 4 0
## 30 0 0 40 4 0
## 31 0 0 52 4 0
## 32 0 0 44 4 0
## 33 0 1408 40 4 0
## 34 0 0 40 4 0
## 35 0 0 15 4 0
## 36 0 0 40 7 0
## 37 0 0 40 4 0
## 38 0 0 25 4 0
## 39 0 0 38 1 1
## 40 0 0 40 4 0
## 41 0 0 43 4 0
## 42 0 0 40 4 0
## 43 0 0 50 4 0
## 44 0 0 40 4 0
## 45 0 0 35 4 0
## 46 0 0 40 4 1
## 47 0 0 38 4 0
## 48 0 0 40 4 0
## 49 0 0 40 4 0
## 50 0 0 43 4 0
## 51 0 0 40 4 0
## 52 0 0 30 1 0
## 53 0 1902 60 1 1
## 54 0 0 55 4 1
## 55 0 0 60 4 0
## 56 0 0 40 4 1
## 57 0 0 40 4 0
## 58 0 0 40 7 0
## 59 0 0 48 4 0
## 60 5013 0 40 4 0
## 61 2407 0 40 4 0
## 62 0 0 40 1 0
## 63 0 0 40 4 0
## 64 0 0 45 4 1
## 65 0 0 58 4 0
## 66 0 0 40 4 0
## 67 0 0 40 4 0
## 68 0 0 40 4 1
## 69 0 0 50 4 1
## 70 0 0 40 4 0
## 71 0 0 32 4 0
## 72 0 0 40 4 0
## 73 0 0 70 4 1
## 74 0 0 40 4 0
## 75 0 0 20 4 0
## 76 0 0 40 4 0
## 77 0 0 40 4 0
## 78 0 0 2 4 0
## 79 0 0 22 4 0
## 80 0 0 40 4 0
## 81 0 0 30 4 0
## 82 0 0 40 1 0
## 83 0 0 40 4 0
## 84 0 0 48 4 0
## 85 14344 0 40 4 1
## 86 0 0 35 4 0
## 87 0 0 40 4 1
## 88 0 0 50 4 0
## 89 0 0 40 4 0
## 90 0 0 50 4 1
## 91 0 0 40 4 0
## 92 0 0 40 4 0
## 93 0 0 25 4 0
## 94 0 1573 35 1 0
## 95 0 0 40 4 1
## 96 0 0 50 4 0
## 97 0 1902 60 4 1
## 98 0 0 48 4 1
## 99 0 0 40 3 0
## 100 0 0 40 4 0
## 101 0 0 40 4 1
## 102 15024 0 60 4 1
## 103 0 0 50 4 0
## 104 0 0 40 4 0
## 105 0 0 40 4 0
## 106 7688 0 40 4 1
## 107 34095 0 32 4 0
## 108 0 0 40 4 0
## 109 0 0 40 4 0
## 110 0 0 40 4 0
## 111 0 0 40 4 0
## 112 0 0 40 4 1
## 113 0 1887 50 4 1
## 114 4064 0 25 4 0
## 115 0 0 40 4 0
## 116 0 0 50 4 0
## 117 0 0 50 4 0
## 118 0 0 40 4 1
## 119 0 0 56 4 0
## 120 0 0 41 4 0
## 121 0 0 40 4 0
## 122 0 0 60 4 0
## 123 0 0 40 3 0
## 124 0 0 50 4 1
## 125 0 0 35 4 0
## 126 0 0 40 4 1
## 127 0 1719 28 4 0
## 128 0 0 40 4 1
## 129 0 0 40 4 0
## 130 0 0 40 4 0
## 131 0 0 60 4 0
## 132 0 1762 40 4 0
## 133 4386 0 35 4 0
## 134 0 0 50 4 0
## 135 0 0 36 4 0
## 136 0 0 40 5 1
## 137 0 0 60 4 0
## 138 0 0 35 4 0
## 139 0 0 20 4 0
## 140 0 0 40 4 1
## 141 0 0 40 4 0
## 142 0 0 40 4 0
## 143 0 0 30 4 0
## 144 0 1564 40 4 1
## 145 0 0 40 4 0
## 146 0 0 30 4 0
## 147 0 0 24 4 0
## 148 0 0 24 4 0
## 149 0 2179 40 4 0
## 150 0 0 40 4 0
## 151 0 0 38 4 0
## 152 0 0 40 4 0
## 153 0 0 40 2 0
## 154 0 0 35 4 0
## 155 0 0 45 4 1
## 156 0 0 46 4 0
## 157 0 0 40 4 0
## 158 0 1816 2 4 0
## 159 0 0 60 4 0
## 160 0 0 50 4 0
## 161 0 0 20 4 0
## 162 0 0 40 4 0
## 163 0 0 40 4 0
## 164 0 0 40 3 0
## 165 0 0 40 4 1
## 166 0 0 40 4 0
## 167 0 0 42 4 0
## 168 0 0 40 4 0
## 169 0 0 16 4 0
## 170 0 0 20 4 0
## 171 0 1980 40 4 0
## 172 0 0 40 4 0
## 173 0 1977 40 4 1
## 174 0 0 50 4 0
## 175 0 0 40 4 1
## 176 0 0 25 4 0
## 177 0 0 40 4 0
## 178 0 0 40 4 0
## 179 0 0 12 4 0
## 180 0 0 65 4 0
## 181 0 0 38 4 1
## 182 0 0 40 4 0
## 183 0 0 45 4 0
## 184 0 0 40 4 1
## 185 0 0 42 4 1
## 186 0 0 40 4 0
## 187 0 0 40 4 0
## 188 0 0 50 4 0
## 189 0 0 50 4 0
## 190 0 0 1 4 1
## 191 0 0 28 4 0
## 192 0 0 40 4 0
## 193 0 0 40 4 0
## 194 0 0 45 4 0
## 195 0 0 24 4 0
## 196 0 0 40 4 0
## 197 0 0 40 4 0
## 198 14084 0 55 4 1
## 199 7298 0 40 4 1
## 200 0 0 40 4 0
## 201 0 1876 40 4 0
## 202 0 0 40 3 0
## 203 0 0 50 4 1
## 204 0 1340 40 4 0
## 205 0 0 35 4 0
## 206 0 0 40 4 0
## 207 7298 0 36 4 1
## 208 0 0 60 4 0
## 209 15024 0 35 4 1
## 210 0 0 12 4 0
## 211 0 0 40 4 0
## 212 0 0 40 4 1
## 213 0 0 40 4 0
## 214 0 0 40 4 0
## 215 0 0 40 4 1
## 216 0 0 60 4 1
## 217 0 0 40 4 0
## 218 0 0 50 3 0
## 219 0 0 55 4 0
## 220 0 0 40 4 0
## 221 0 0 40 4 0
## 222 0 0 40 4 0
## 223 0 2206 40 4 0
## 224 0 0 20 4 0
## 225 0 0 35 4 0
## 226 0 0 40 4 0
## 227 0 0 10 4 0
## 228 1409 0 50 4 0
## 229 0 0 20 6 0
## 230 0 0 40 4 0
## 231 3674 0 40 4 0
## 232 0 0 38 4 0
## 233 0 0 42 4 0
## 234 0 0 40 4 0
## 235 0 0 55 4 1
## 236 0 0 40 4 0
## 237 0 0 38 4 0
## 238 0 0 50 5 1
## 239 0 0 70 4 1
## 240 0 0 40 4 0
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## 244 0 0 20 4 0
## 245 0 1741 40 4 0
## 246 0 0 35 1 0
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## 249 0 1977 60 4 1
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## 251 0 0 40 4 1
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## 253 0 0 30 4 0
## 254 0 0 40 4 0
## 255 0 0 20 4 0
## 256 0 0 40 2 1
## 257 0 0 40 4 0
## 258 0 0 30 4 0
## 259 0 0 45 4 0
## 260 0 0 40 4 0
## 261 0 0 40 4 0
## 262 0 0 60 4 0
## 263 0 0 12 4 0
## 264 4064 0 40 4 0
## 265 0 0 40 4 0
## 266 0 0 75 2 1
## 267 0 0 24 4 0
## 268 0 0 40 4 1
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## 270 0 0 40 4 1
## 271 0 0 40 4 1
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## 274 0 0 35 4 0
## 275 0 0 40 4 0
## 276 0 0 40 4 0
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## 279 0 0 40 4 0
## 280 7298 0 48 4 1
## 281 0 0 15 3 0
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## 283 0 0 45 4 0
## 284 0 0 42 4 0
## 285 0 0 40 4 0
## 286 15024 0 40 4 1
## 287 0 0 60 4 1
## 288 0 0 45 4 0
## 289 0 0 40 4 0
## 290 0 0 40 6 0
## 291 0 0 45 4 0
## 292 0 0 40 4 0
## 293 0 0 56 4 0
## 294 0 0 45 4 0
## 295 0 0 40 4 0
## 296 0 0 16 4 0
## 297 0 0 60 4 0
## 298 3464 0 40 1 0
## 299 0 0 40 4 0
## 300 0 0 80 4 0
## 301 7688 0 40 4 1
## 302 0 0 25 4 0
## 303 0 0 45 4 1
## 304 4386 0 40 4 1
## 305 0 0 40 2 0
## 306 0 0 40 4 0
## 307 0 0 45 4 0
## 308 0 0 33 4 0
## 309 0 0 40 4 1
## 310 0 0 54 4 1
## 311 0 0 40 4 0
## 312 7298 0 35 2 1
## 313 0 0 25 4 0
## 314 0 0 40 4 1
## 315 0 0 15 4 0
## 316 0 0 40 4 0
## 317 0 0 40 4 0
## 318 0 0 40 4 0
## 319 0 0 40 4 0
## 320 0 0 24 4 0
## 321 0 0 40 4 0
## 322 0 1485 50 4 0
## 323 0 0 45 4 0
## 324 0 0 40 4 0
## 325 0 0 10 4 0
## 326 0 0 45 4 0
## 327 0 0 15 4 0
## 328 0 1887 50 4 1
## 329 0 0 40 4 0
## 330 2050 0 55 4 0
## 331 0 0 45 4 0
## 332 0 0 40 4 0
## 333 0 0 40 4 0
## 334 0 0 40 4 0
## 335 0 0 40 4 0
## 336 0 0 48 4 0
## 337 0 0 40 4 0
## 338 0 0 60 4 0
## 339 0 0 30 1 0
## 340 0 0 40 4 0
## 341 0 0 40 4 0
## 342 7298 0 40 4 1
## 343 7298 0 40 4 1
## 344 0 0 20 4 0
## 345 0 0 40 4 0
## 346 0 0 42 4 0
## 347 0 0 8 4 0
## 348 0 0 40 4 0
## 349 0 0 25 5 0
## 350 0 0 25 4 0
## 351 0 0 40 4 1
## 352 0 0 40 4 0
## 353 0 0 40 4 1
## 354 0 0 30 4 0
## 355 0 0 40 4 1
## 356 0 0 40 4 1
## 357 0 0 40 4 0
## 358 0 0 40 4 1
## 359 0 0 35 4 0
## 360 0 0 40 3 0
## 361 0 0 24 4 0
## 362 0 0 40 4 1
## 363 0 0 45 4 0
## 364 0 1564 45 4 1
## 365 0 0 55 4 0
## 366 0 0 40 4 0
## 367 0 0 45 4 0
## 368 0 0 15 4 0
## 369 0 0 45 4 1
## 370 0 0 40 4 0
## 371 0 0 15 4 0
## 372 0 0 10 4 0
## 373 0 0 38 4 1
## 374 0 0 40 4 0
## 375 0 0 40 4 0
## 376 0 0 10 4 0
## 377 0 0 40 4 0
## 378 0 0 40 4 0
## 379 0 0 30 4 0
## 380 0 0 50 4 0
## 381 0 0 40 4 0
## 382 0 2339 45 4 0
## 383 0 0 40 4 0
## 384 0 0 40 4 0
## 385 0 0 40 4 0
## 386 0 0 25 4 0
## 387 0 0 40 4 0
## 388 0 2415 6 4 1
## 389 0 0 16 4 0
## 390 0 0 40 4 0
## 391 0 0 40 4 1
## 392 0 0 50 4 0
## 393 0 0 40 4 0
## 394 7688 0 45 1 1
## 395 0 0 35 4 0
## 396 0 0 40 4 0
## 397 0 0 40 4 0
## 398 0 0 35 4 0
## 399 0 0 55 4 1
## 400 0 0 50 4 1
## 401 0 0 40 4 0
## 402 0 0 40 4 0
## 403 0 0 40 4 1
## 404 0 0 64 4 0
## 405 0 2179 40 7 0
## 406 0 1977 65 4 1
## 407 0 0 40 4 0
## 408 0 0 25 4 0
## 409 0 1887 40 4 1
## 410 0 0 50 4 0
## 411 0 0 24 4 0
## 412 0 0 40 4 0
## 413 0 0 40 4 0
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## 415 0 0 40 4 0
## 416 0 0 50 4 1
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## 418 0 0 19 4 0
## 419 0 0 40 4 0
## 420 0 0 40 4 0
## 421 0 0 30 4 0
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## 423 0 0 40 4 1
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## 425 0 0 35 4 0
## 426 0 0 60 4 0
## 427 0 1408 40 4 0
## 428 0 0 72 1 0
## 429 0 0 40 4 1
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## 431 0 0 24 4 0
## 432 0 0 40 4 0
## 433 2174 0 40 4 0
## 434 0 0 25 4 1
## 435 0 1980 40 2 0
## 436 0 0 50 4 1
## 437 594 0 60 4 0
## 438 0 0 40 4 0
## 439 0 0 40 4 0
## 440 0 0 40 4 0
## 441 0 0 40 4 0
## 442 0 0 28 4 0
## 443 0 0 40 4 0
## 444 0 0 40 4 1
## 445 0 0 40 4 0
## 446 0 0 35 4 0
## 447 0 0 40 4 0
## 448 0 0 40 4 0
## 449 0 0 40 4 0
## 450 0 0 5 4 0
## 451 0 0 40 4 0
## 452 0 0 55 4 1
## 453 0 0 40 4 1
## 454 0 0 40 1 1
## 455 0 0 40 4 1
## 456 0 0 40 4 1
## 457 0 0 40 4 0
## 458 0 0 50 4 0
## 459 0 0 60 4 0
## 460 0 0 40 4 0
## 461 0 0 40 4 0
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## 463 0 0 50 4 0
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## 465 0 0 20 4 0
## 466 0 0 60 4 0
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## 469 0 1977 45 4 1
## 470 0 0 16 4 1
## 471 0 0 40 4 1
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## 473 0 0 40 4 0
## 474 0 0 60 4 0
## 475 0 0 24 4 0
## 476 0 0 40 4 0
## 477 0 0 6 4 0
## 478 0 0 30 4 0
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## 480 0 0 35 4 0
## 481 0 0 45 3 0
## 482 0 0 20 4 0
## 483 0 0 20 4 0
## 484 0 0 40 4 0
## 485 594 0 40 4 0
## 486 0 0 20 4 0
## 487 0 0 35 4 0
## 488 0 0 45 4 0
## 489 0 0 40 4 0
## 490 15024 0 60 4 1
## 491 0 0 35 4 0
## 492 0 0 40 4 0
## 493 0 0 60 4 0
## 494 0 0 25 4 0
## 495 0 0 20 4 0
## 496 0 0 36 4 0
## 497 0 0 40 4 0
## 498 0 0 40 1 0
## 499 0 0 35 4 0
## 500 0 0 20 4 0
## 501 0 0 40 3 0
## 502 0 0 40 4 0
## 503 0 0 40 4 0
## 504 0 0 42 3 0
## 505 0 0 40 4 0
## 506 0 0 40 4 0
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## [ reached 'max' / getOption("max.print") -- omitted 26680 rows ]
adult <- adult %>%
mutate(invested = ifelse(capital_gain > 0 | capital_loss > 0, 1, 0))
adult$invested <- factor(adult$invested,
levels = c("0", "1"),
labels = c("Not_Invested", "Invested")
)
levels(adult$invested)
## [1] "Not_Invested" "Invested"
# Get all unique values in'invested'
unique_values <- unique(adult$invested)
unique_values
## [1] Invested Not_Invested
## Levels: Not_Invested Invested
#Checking data types
str(adult)
## 'data.frame': 32562 obs. of 18 variables:
## $ age : num 39 50 38 53 28 37 49 52 31 42 ...
## $ workclass : Factor w/ 8 levels "unemployed","FedGov",..: 8 7 5 5 5 5 5 7 5 5 ...
## $ similar_pop_count: num 77516 83311 215646 234721 338409 ...
## $ education_level : Factor w/ 8 levels "assoc","highsch",..: 8 8 2 2 8 3 2 2 3 8 ...
## $ years_education : num 13 13 9 7 13 14 5 9 14 13 ...
## $ marital_status : Factor w/ 4 levels "divorce","married",..: 3 2 1 2 2 2 2 2 3 2 ...
## $ occupation : Factor w/ 6 levels "agriculture",..: 2 3 4 4 3 3 4 3 3 3 ...
## $ household_role : Factor w/ 6 levels "husband","wife",..: 3 1 3 1 2 2 3 1 3 1 ...
## $ race : Factor w/ 5 levels "other","white",..: 2 2 2 3 3 2 3 2 2 2 ...
## $ gender : Factor w/ 2 levels "female","male": 2 2 2 2 1 1 1 2 1 2 ...
## $ capital_gain : num 2174 0 0 0 0 ...
## $ capital_loss : num 0 0 0 0 0 0 0 0 0 0 ...
## $ hours_per_week : num 40 13 40 40 40 40 16 45 50 40 ...
## $ native_region : Factor w/ 7 levels "CentrAmerica",..: 4 4 4 4 1 4 1 4 4 4 ...
## $ income : Factor w/ 2 levels "<=50K",">50K": 1 1 1 1 1 1 1 2 2 2 ...
## $ hours_worked_span: Factor w/ 6 levels "1-15","16-30",..: 3 1 3 3 3 3 2 3 4 3 ...
## $ age_span : Ord.factor w/ 6 levels "1-20"<"21-35"<..: 3 4 3 4 2 3 3 4 2 3 ...
## $ invested : Factor w/ 2 levels "Not_Invested",..: 2 1 1 1 1 1 1 1 2 2 ...
cat("\n------------------Count NA----------------------\n\n")
##
## ------------------Count NA----------------------
sort(colSums(is.na(adult)), decreasing = TRUE)
## age workclass similar_pop_count education_level
## 0 0 0 0
## years_education marital_status occupation household_role
## 0 0 0 0
## race gender capital_gain capital_loss
## 0 0 0 0
## hours_per_week native_region income hours_worked_span
## 0 0 0 0
## age_span invested
## 0 0
vis_miss(adult)
dim(adult)
## [1] 32562 18
Sources: https://oakleyj.github.io/MAS61004/eda-for-logistic-regression.html
# histogram of age by gender group
ggplot(adult) + aes(x=age, group=income, fill=income) +
geom_histogram(binwidth=1, color='black') +
labs(title = "Income by Age", x = "Age")
ggplot(adult) + aes(x=years_education, group=income, fill=income) +
geom_histogram(binwidth=1, color='black') +
labs(title = "Income by Years of Education", x = "Years")
ggplot(adult) + aes(x=hours_per_week, group=income, fill=income) +
geom_histogram(binwidth=1, color='black') +
labs(title = "Income by Hours Per Week", x = "Hours")
# Income by gain
qplot(capital_gain, data = adult, fill = income)+
ggtitle('Earnings with Capital Gains')
## Warning: `qplot()` was deprecated in ggplot2 3.4.0.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
# Income by loss
qplot(capital_loss, data = adult, fill = income)+
ggtitle('Earnings with Capital Loss')
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
ggplot(adult, aes(x = invested, y = capital_gain, colour = income, fill = income)) +
geom_boxplot(color='black') +
ggtitle("Earnings by Investment Gain")
ggplot(adult, aes(x = invested, y = capital_loss, colour = income, fill = income)) +
geom_boxplot(color='black') +
ggtitle("Earnings by Investment Loss")
# Income by hours with percentage
ggplot(adult, aes(x = hours_per_week, fill = income)) +
geom_bar(position = "fill") +
# facet_grid(. ~ race) +
scale_y_continuous(labels = scales::percent_format()) +
labs(y = "Percentage")+
ggtitle("Earnings by Hours") +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))
# Log-transform the 'capital_gain' column
adult_dum$capital_gain_log <- log(adult_dum$capital_gain + 1) # Adding 1 to avoid log(0)
# Log-transform the 'capital_gain' column
adult_dum$capital_loss_log <- log(adult_dum$capital_loss + 1) # Adding 1 to avoid log(0)
library(tidyverse)
library(broom)
# Check the continuous variables for linearity
ggplot(adult_dum,(aes(x=age,y=income)))+geom_point()+geom_smooth(method="loess",span=.1) +
labs(title = "Income by Age", x = "Age", y = "Income")
## `geom_smooth()` using formula = 'y ~ x'
ggplot(adult_dum,(aes(x=years_education,y=income)))+geom_point()+geom_smooth(method="loess",span=.6)+
labs(title = "Income by Years of Education", x = "Years", y = "Income")
## `geom_smooth()` using formula = 'y ~ x'
ggplot(adult_dum,(aes(x=hours_per_week,y=income)))+geom_point()+geom_smooth(method="loess",span=.6)+
labs(title = "Income by Hours Per Week", x = "Hours", y = "Income")
## `geom_smooth()` using formula = 'y ~ x'
# Non logged capital Gains
ggplot(adult, aes(x=capital_gain, y=adult_dum$income)) +
geom_point() +
geom_smooth(method="loess", size=1, span=1) +
ylim(-.2, 2.5) +
labs(title = "Income by Capital Gain", x = "Capital Gain", y = "Income")
## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
## `geom_smooth()` using formula = 'y ~ x'
# Non-logged capital loss
ggplot(adult, aes(x=capital_loss, y=adult_dum$income)) +
geom_point() +
geom_smooth(method="loess", size=1, span=1) +
ylim(-.2, 2.5) +
labs(title = "Income by Capital Loss", x = "Capital Loss", y = "Income")
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values (`geom_smooth()`).
# Logged gain and loss
ggplot(adult_dum,(aes(x=capital_gain_log, y=income)))+geom_point()+geom_smooth(method="loess",span=1)+
labs(title = "Income by Log Capital Gain", x = "Capital Gain", y = "Income")
## `geom_smooth()` using formula = 'y ~ x'
ggplot(adult_dum,(aes(x=capital_loss_log, y=income)))+geom_point()+geom_smooth(method="loess",span=1)+
labs(title = "Income by Log Capital Loss", x = "Capital Loss", y = "Income")
## `geom_smooth()` using formula = 'y ~ x'
ggplot(adult, aes(x = gender, y = age, colour = income, fill = income)) +
geom_boxplot(color='black') +
ggtitle("Earnings by Age and Gender")
ggplot(adult, aes(x = gender, y = years_education, colour = income, fill = income)) +
geom_boxplot(color='black') +
ggtitle("Earnings by Gender and Education")
ggplot(adult, aes(x = gender, y = hours_per_week, colour = income, fill = income)) +
geom_boxplot(color='black') +
ggtitle("Earnings by Hours Worked and Gender")
ggplot(adult, aes(x = income, y = hours_per_week, colour = income, fill = income)) +
geom_boxplot(color='black') +
ggtitle("Earnings by Hours Worked")
# Income by gender and hourswith percentage
ggplot(adult, aes(x = age, fill = income)) +
geom_bar(width = 1, position = "fill") +
facet_grid(. ~ gender) +
scale_y_continuous(labels = scales::percent_format()) +
labs(y = "Percentage")+
ggtitle("Earnings by Age Type and Gender") +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))
## Warning: `position_stack()` requires non-overlapping x intervals
# Income by gender and hourswith percentage
ggplot(adult, aes(x = hours_per_week, fill = income)) +
geom_bar(width = 1, position = "fill") +
facet_grid(. ~ gender) +
scale_y_continuous(labels = scales::percent_format()) +
labs(y = "Percentage")+
ggtitle("Earnings by Hours Worked Type and Gender") +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))
## Warning: `position_stack()` requires non-overlapping x intervals
# Income by gender and education with percentage
ggplot(adult, aes(x = years_education, fill = income)) +
geom_bar(width = 0.8, position = "fill") +
facet_grid(. ~ gender) +
scale_y_continuous(labels = scales::percent_format()) +
labs(y = "Percentage")+
ggtitle("Earnings by Years Education and Gender") +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))
## Warning: `position_stack()` requires non-overlapping x intervals
# Check the continuous variables for linearity against the logodds of Y
levels(adult$gender)
## [1] "female" "male"
# Adjusted code for Age (AG) by weight (WT), with y = Status.Num
ggplot(adult_dum, aes(x=age, y=income, colour=as.factor(gender_num))) +
geom_point() +
geom_smooth(method="loess", size=1, span=.75) +
ylim(-.2, 1.2) +
# facet_wrap(~factor(Pclass)) +
labs(title = "Income by Age with Gender", x = "Age", y = "Income") +
scale_colour_manual(name = "Gender",
values = c("1" = "orange",
"2" = "green"),
labels = c("Female", "Male"))
## `geom_smooth()` using formula = 'y ~ x'
ggplot(adult_dum, aes(x=hours_per_week, y=income, colour=as.factor(gender_num))) +
geom_point() +
geom_smooth(method="loess", size=1, span=.75) +
ylim(-.2, 1.2) +
# facet_wrap(~factor(Pclass)) +
labs(title = "Income by hours Worked with Gender", x = "Hours", y = "Income") +
scale_colour_manual(name = "Gender",
values = c("1" = "orange",
"2" = "green"),
labels = c("Female", "Male"))
## `geom_smooth()` using formula = 'y ~ x'
ggplot(adult_dum, aes(x=years_education, y=income, colour=as.factor(gender_num))) +
geom_point() +
geom_smooth(method="loess", size=1, span=.75) +
ylim(-.2, 1.2) +
# facet_wrap(~factor(Pclass)) +
labs(title = "Income by Years of Education with Gender", x = "Years", y = "Income")+
scale_colour_manual(name = "Gender",
values = c("1" = "orange",
"2" = "green"),
labels = c("Female", "Male"))
## `geom_smooth()` using formula = 'y ~ x'
ggplot(adult, aes(x = race, y = age, colour = income, fill = income)) +
geom_boxplot(color='black') +
ggtitle("Earnings by Age and Race")
ggplot(adult, aes(x = race, y = years_education, colour = income, fill = income)) +
geom_boxplot(color='black') +
ggtitle("Earnings by Education and Race")
ggplot(adult, aes(x = race, y = hours_per_week, colour = income, fill = income)) +
geom_boxplot(color='black') +
ggtitle("Earnings by Hours Worked and Race")
# Income by occupation
qplot(occupation, data = adult, fill = income) + facet_grid (. ~ race)+
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))
# Income by race with percentage
ggplot(adult, aes(x = occupation, fill = income)) +
geom_bar(position = "fill") +
facet_grid(. ~ race) +
scale_y_continuous(labels = scales::percent_format()) +
labs(y = "Percentage")+
ggtitle("Earnings by Occupation and Race") +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))
# Income by race
qplot(education_level, data = adult, fill = income) +
facet_grid(. ~ race) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))
# Income by race with percentage
ggplot(adult, aes(x = education_level, fill = income)) +
geom_bar(position = "fill") +
facet_grid(. ~ race) +
scale_y_continuous(labels = scales::percent_format()) +
labs(y = "Percentage")+
ggtitle("Earnings by Education Type and Race") +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))
# Income by race with percentage
ggplot(adult, aes(x = marital_status, fill = income)) +
geom_bar(position = "fill") +
facet_grid(. ~ race) +
scale_y_continuous(labels = scales::percent_format()) +
labs(y = "Percentage")+
ggtitle("Earnings by Marital Status and Race (Percentage") +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))
# Hourse worked
ggplot(adult, aes(x = occupation, y = hours_per_week, colour = income, fill = income)) +
geom_boxplot(color='black') +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))+
facet_grid(. ~ race)+
ggtitle("Earnings by Race, Occupation, and Hours Worked")
# Check the continuous variables for linearity against the logodds of Y
# Adjusted code for Age (AG) by weight (WT), with y = Status.Num
ggplot(adult_dum, aes(x=age, y=income, colour=as.factor(race_num))) +
geom_point() +
geom_smooth(method="loess", size=1, span=.75) +
ylim(-.2, 1.2) +
# facet_wrap(~factor(Pclass)) +
labs(title = "Income by Age with Race", x = "Age", y = "Income") +
scale_colour_manual(name = "Race",
values = c("1" = "orange",
"2" = "green",
"3" = "#619CFF",
"4" = "#F564E3",
"5" = "red"),
labels = c("Other", "White", "Black", "Native", "Asian/Pacific Islander"))
## `geom_smooth()` using formula = 'y ~ x'
ggplot(adult_dum, aes(x=hours_per_week, y=income, colour=as.factor(race_num))) +
geom_point() +
geom_smooth(method="loess", size=1, span=.75) +
ylim(-.2, 1.2) +
# facet_wrap(~factor(Pclass)) +
labs(title = "Income by hours Worked with Race", x = "Hours", y = "Income") +
scale_colour_manual(name = "Race",
values = c("1" = "orange",
"2" = "green",
"3" = "#619CFF",
"4" = "#F564E3",
"5" = "red"),
labels = c("Other", "White", "Black", "Native", "Asian/Pacific Islander"))
## `geom_smooth()` using formula = 'y ~ x'
ggplot(adult_dum, aes(x=years_education, y=income, colour=as.factor(race_num))) +
geom_point() +
geom_smooth(method="loess", size=1, span=.75) +
ylim(-.2, 1.2) +
# facet_wrap(~factor(Pclass)) +
labs(title = "Income by Years of Education with Race", x = "Years", y = "Income")+
scale_colour_manual(name = "Race",
values = c("1" = "orange",
"2" = "green",
"3" = "#619CFF",
"4" = "#F564E3",
"5" = "red"),
labels = c("Other", "White", "Black", "Native", "Asian/Pacific Islander"))
## `geom_smooth()` using formula = 'y ~ x'
# Income by gender
qplot(race, data = adult, fill = income) +
facet_grid(. ~ marital_status) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))+
ggtitle('Earnings with Race and Marital Status')
# Income by gender
qplot(education_level, data = adult, fill = income) +
facet_grid(. ~ marital_status) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))+
ggtitle('Earnings with Education and Marital Status')
# Income by gender
qplot(occupation, data = adult, fill = income) +
facet_grid(. ~ marital_status) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))+
ggtitle('Earnings with Occupation and Marital Status')
# Check the continuous variables for linearity against the logodds of Y
levels(adult$marital_status)
## [1] "divorce" "married" "notmarried" "widowed"
# Adjusted code for Age (AG) by weight (WT), with y = Status.Num
ggplot(adult_dum, aes(x=age, y=income, colour=as.factor(marital_status_num))) +
geom_point() +
geom_smooth(method="loess", size=1, span=.75) +
ylim(-.2, 1.2) +
# facet_wrap(~factor(Pclass)) +
labs(title = "Income by Age with Marital Status", x = "Age", y = "Income") +
scale_colour_manual(name = "Marital Status",
values = c("1" = "orange",
"2" = "green",
"3" = "#619CFF",
"4" = "#F564E3"),
labels = c("divorced", "married", "notmarried", "widowed"))
## `geom_smooth()` using formula = 'y ~ x'
ggplot(adult_dum, aes(x=hours_per_week, y=income, colour=as.factor(marital_status_num))) +
geom_point() +
geom_smooth(method="loess", size=1, span=.75) +
ylim(-.2, 1.2) +
# facet_wrap(~factor(Pclass)) +
labs(title = "Income by hours Worked with Marital Status", x = "Hours", y = "Income") +
scale_colour_manual(name = "Marital Status",
values = c("1" = "orange",
"2" = "green",
"3" = "#619CFF",
"4" = "#F564E3"),
labels = c("divorced", "married", "notmarried", "widowed"))
## `geom_smooth()` using formula = 'y ~ x'
ggplot(adult_dum, aes(x=years_education, y=income, colour=as.factor(marital_status_num))) +
geom_point() +
geom_smooth(method="loess", size=1, span=.75) +
ylim(-.2, 1.2) +
# facet_wrap(~factor(Pclass)) +
labs(title = "Income by Years of Education with Marital Status", x = "Years", y = "Income")+
scale_colour_manual(name = "Marital Status",
values = c("1" = "orange",
"2" = "green",
"3" = "#619CFF",
"4" = "#F564E3"),
labels = c("divorced", "married", "notmarried", "widowed"))
## `geom_smooth()` using formula = 'y ~ x'
ggplot(adult, aes(x = hours_worked_span, y = age, colour = income, fill = income)) +
geom_boxplot(color='black') +
ggtitle("Earnings by Hours Worked")
ggplot(adult, aes(x = income, y = age, color=income, fill=income)) +
geom_boxplot(color='black') +
facet_grid(. ~ native_region) +
ggtitle("Earnings by Age and Origin")
ggplot(adult) + aes(x=hours_per_week, group=income, fill=income) +
geom_histogram()+
facet_grid(. ~ occupation)
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
# Income by race with percentage
ggplot(adult, aes(x = hours_worked_span, fill = income)) +
geom_bar(position = "fill") +
facet_grid(. ~ occupation) +
scale_y_continuous(labels = scales::percent_format()) +
labs(y = "Percentage")+
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))
# Income by race with percentage
ggplot(adult, aes(x = native_region, fill = income)) +
geom_bar(position = "fill") +
facet_grid(. ~ occupation) +
scale_y_continuous(labels = scales::percent_format()) +
labs(y = "Percentage")+
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))
ggplot(adult, aes(x = marital_status, y = hours_per_week, colour = income, fill = income)) +
geom_boxplot(color='black') +
ggtitle("Earnings by Marital Status and Education")
# Hourse worked
ggplot(adult, aes(x = gender, y = hours_per_week, colour = income, fill = income)) +
geom_boxplot(color='black') +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))+
facet_grid(. ~ race)+
ggtitle("Earnings by Race, Gender, and Hours Worked")
ggplot(adult, aes(x = gender, y = years_education, colour = income, fill = income)) +
geom_boxplot(color='black') +
ggtitle("Earnings by Gender and Education")
ggplot(adult, aes(x = marital_status, y = hours_per_week, colour = income, fill = income)) +
geom_boxplot(color='black') +
ggtitle("Earnings by Marital Status and Hours")
# Income by gender
qplot(race, data = adult, fill = income) +
facet_grid(. ~ marital_status) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))+
ggtitle('Earnings with Race and Marital Status')
# Income by occupation
qplot(income, data = adult, fill = income) + facet_grid (. ~ occupation)+
ggtitle('Earnings with Occupation')
# Income by education
qplot(income, data = adult, fill = income) + facet_grid (. ~ education_level)+
ggtitle('Earnings with Education')
# Income by race
qplot(education_level, data = adult, fill = income) +
facet_grid(. ~ race) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))+
ggtitle('Earnings with Race and Education')
library(treemap)
adult3 <- adult
# Log-transform the 'capital_gain' column
adult3$capital_gain_log <- log(adult3$capital_gain + 1) # Adding 1 to avoid log(0)
# Log-transform the 'capital_gain' column
adult3$capital_loss_log <- log(adult3$capital_loss + 1) # Adding 1 to avoid log(0)
## Native REGION and Income Status
adult3$income.num<-ifelse(adult3$income==">50K", 1, 0)
# Calculate proportions
positive_proportions2 <- table(adult3$native_region, adult3$income.num)[, "1"] / rowSums(table(adult3$native_region, adult3$income.num))
# Create a data frame
treemap_data2 <- data.frame(native_region = names(positive_proportions2), positive_proportion = positive_proportions2)
# Sort by positive_proportion
treemap_data2 <- treemap_data2[order(treemap_data2$positive_proportion, decreasing = TRUE), ]
# Plot the treemap
treemap(treemap_data2,
index = "native_region",
vSize = "positive_proportion",
title = "Proportion of Positive Income Status by Native Region of Origin")
library(treemap)
# Heat map
income_status_table <- table(adult$native_region, adult_dum$income)
positive_counts <- income_status_table[, "1"]
total_counts <- rowSums(income_status_table)
positive_proportions<-positive_counts/total_counts
heatmap_data <- data.frame(native_country = names(positive_proportions), positive_proportion = positive_proportions)
heatmap_data$native_country <- factor(heatmap_data$native_country, levels = heatmap_data$native_country[order(heatmap_data$positive_proportion, decreasing = FALSE)])
ggplot(heatmap_data, aes(x = "", y = native_country, fill = positive_proportion)) +
geom_tile() +
scale_fill_gradient(low = "white", high = "blue") +
theme_minimal() +
labs(title = "Proportion of Positive Income Status by native_country of Origin", x = NULL, y = NULL) +
scale_colour_manual(name = "Region",
values = c("1" = "orange",
"2" = "green",
"3" = "#619CFF",
"4" = "#F564E3",
"5" = "red",
"6" = "purple",
"7" = "brown"),
labels = c("EAsia", "SAsia", "North America", "Central America", "South America", "Europe", "US Territory"))
# Check the continuous variables for linearity against the logodds of Y
# Adjusted code for Age (AG) by weight (WT), with y = Status.Num
ggplot(adult_dum, aes(x=capital_gain_log, y=income, colour=as.factor(native_region_num))) +
geom_point() +
geom_smooth(method="loess", size=1, span=2) +
ylim(-2, 1.2) +
# facet_wrap(~factor(Pclass)) +
labs(title = "Income by Capital Gain with Region", x = "Gain", y = "Income") +
scale_colour_manual(name = "Region",
values = c("1" = "orange",
"2" = "green",
"3" = "#619CFF",
"4" = "#F564E3",
"5" = "red",
"6" = "purple",
"7" = "brown"),
labels = c("EAsia", "SAsia", "North America", "Central America", "South America", "Europe", "US Territory"))
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 22 rows containing missing values (`geom_smooth()`).
# Adjusted code for Age (AG) by weight (WT), with y = Status.Num
ggplot(adult_dum, aes(x=capital_loss_log, y=income, colour=as.factor(native_region_num))) +
geom_point() +
geom_smooth(method="loess", size=1, span=2) +
ylim(-2, 1.2) +
# facet_wrap(~factor(Pclass)) +
labs(title = "Income by Capital Loss with Region", x = "Loss", y = "Income") +
scale_colour_manual(name = "Region",
values = c("1" = "orange",
"2" = "green",
"3" = "#619CFF",
"4" = "#F564E3",
"5" = "red",
"6" = "purple",
"7" = "brown"),
labels = c("EAsia", "SAsia", "North America", "Central America", "South America", "Europe", "US Territory"))
## `geom_smooth()` using formula = 'y ~ x'
# Adjusted code for Age (AG) by weight (WT), with y = Status.Num
ggplot(adult_dum, aes(x=years_education, y=income, colour=as.factor(native_region_num))) +
geom_point() +
geom_smooth(method="loess", size=1, span=2) +
ylim(-2, 1.2) +
# facet_wrap(~factor(Pclass)) +
labs(title = "Income by Years of Education with Region", x = "Years", y = "Income") +
scale_colour_manual(name = "Region",
values = c("1" = "orange",
"2" = "green",
"3" = "#619CFF",
"4" = "#F564E3",
"5" = "red",
"6" = "purple",
"7" = "brown"),
labels = c("EAsia", "SAsia", "North America", "Central America", "South America", "Europe", "US Territory"))
## `geom_smooth()` using formula = 'y ~ x'
# Adjusted code for Age (AG) by weight (WT), with y = Status.Num
ggplot(adult_dum, aes(x=occupation_num, y=income, colour=as.factor(native_region_num))) +
geom_point() +
geom_smooth(method="loess", size=1, span=2) +
ylim(-2, 1.2) +
# facet_wrap(~factor(Pclass)) +
labs(title = "Income by Occupation with Region", x = "Occupation", y = "Income") +
scale_colour_manual(name = "Region",
values = c("1" = "orange",
"2" = "green",
"3" = "#619CFF",
"4" = "#F564E3",
"5" = "red",
"6" = "purple",
"7" = "brown"),
labels = c("EAsia", "SAsia", "North America", "Central America", "South America", "Europe", "US Territory"))
## `geom_smooth()` using formula = 'y ~ x'
ggplot(adult_dum,(aes(x=capital_gain_log,y=income, colour=as.factor(race_num))))+geom_point()+geom_smooth(method="loess",span=2) +
ylim(-2, 1.2) +
# facet_wrap(~factor(Pclass)) +
labs(title = "Income by capital gain with Race", x = "Gain", y = "Income") +
scale_colour_manual(name = "Race",
values = c("1" = "orange",
"2" = "green",
"3" = "#619CFF",
"4" = "#F564E3",
"5" = "red"),
labels = c("Other", "White", "Black", "Native", "Asian/Pacific Islander"))
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 18 rows containing missing values (`geom_smooth()`).
adult2 <- adult
# Log-transform the 'capital_gain' column
adult2$capital_gain_log <- log(adult2$capital_gain + 1) # Adding 1 to avoid log(0)
# Log-transform the 'capital_gain' column
adult2$capital_loss_log <- log(adult2$capital_loss + 1) # Adding 1 to avoid log(0)
# Drop the specified columns
adult2 <- subset(adult2, select = -c(age_span, hours_worked_span, similar_pop_count, capital_gain, capital_loss, invested))
#Check Logistic Assumptions: Sources: https://www.statology.org/assumptions-of-logistic-regression/ * https://www.statisticssolutions.com/free-resources/directory-of-statistical-analyses/assumptions-of-logistic-regression/ * https://r4ds.github.io/bookclub-islr/addendum---logistic-regression-assumptions.html * https://sscc.wisc.edu/sscc/pubs/RegDiag-R/logistic-regression.html#log_ind * http://www.sthda.com/english/articles/36-classification-methods-essentials/148-logistic-regression-assumptions-and-diagnostics-in-r/#google_vignette * https://towardsdatascience.com/assumptions-of-logistic-regression-clearly-explained-44d85a22b290 * Assumption 1: Is the response variable binary?
# Assure it is a factor
adult2$income <- factor(adult2$income, levels = c("<=50K", ">50K"))
levels(adult2$income)
## [1] "<=50K" ">50K"
# Visual inspection (example with 'age' as a predictor)
ggplot(adult2, aes(x = age, fill = income)) + geom_histogram(position = "dodge")
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
# Fit the logistic regression model
model <- glm(income ~ ., data = adult2, family = binomial)
# Perform the Durbin-Watson test
dw_result <- dwtest(model)
dw_result
##
## Durbin-Watson test
##
## data: model
## DW = 1.9975, p-value = 0.4118
## alternative hypothesis: true autocorrelation is greater than 0
adult_dum <- adult2
# one-hot-encode income
adult_dum$income <- ifelse(adult_dum$income == "<=50K", 0, 1)
# Loop through columns
for (col in names(adult_dum)) {
if (is.factor(adult_dum[[col]])) { # Check if column is a factor
levels <- levels(adult_dum[[col]]) # Get levels of the factor
adult_dum[[col]] <- as.numeric(factor(adult_dum[[col]], levels = levels)) # Convert factor to numeric based on levels
names(adult_dum)[names(adult_dum) == col] <- paste0(col, "_num") # Rename the column
}
}
adult_dum
## age workclass_num education_level_num years_education marital_status_num
## 1 39 8 8 13 3
## 2 50 7 8 13 2
## 3 38 5 2 9 1
## 4 53 5 2 7 2
## 5 28 5 8 13 2
## 6 37 5 3 14 2
## 7 49 5 2 5 2
## 8 52 7 2 9 2
## 9 31 5 3 14 3
## 10 42 5 8 13 2
## 11 37 5 1 10 2
## 12 30 8 8 13 2
## 13 23 5 8 13 3
## 14 32 5 1 12 3
## 15 40 5 1 11 2
## 16 34 5 7 4 2
## 17 25 7 2 9 3
## 18 32 5 2 9 3
## 19 38 5 2 7 2
## 20 43 7 3 14 1
## 21 40 5 5 16 2
## 22 54 5 2 9 1
## 23 35 2 2 5 2
## 24 43 5 2 7 2
## 25 59 5 2 9 1
## 26 56 3 8 13 2
## 27 19 5 2 9 3
## 28 54 1 1 10 2
## 29 39 5 2 9 1
## 30 49 5 2 9 2
## 31 23 3 1 12 3
## 32 20 5 1 10 3
## 33 45 5 8 13 1
## 34 30 2 1 10 2
## 35 22 8 1 10 2
## 36 48 5 2 7 3
## 37 21 5 1 10 3
## 38 19 5 2 9 2
## 39 31 5 1 10 2
## 40 48 7 1 12 2
## 41 31 5 2 5 2
## 42 53 7 8 13 2
## 43 24 5 8 13 2
## 44 49 5 2 9 1
## 45 25 5 2 9 3
## 46 57 2 8 13 2
## 47 53 5 2 9 2
## 48 44 5 3 14 1
## 49 41 8 1 11 2
## 50 29 5 1 11 3
## 51 25 5 1 10 2
## 52 18 5 2 9 3
## 53 47 5 8 15 2
## 54 50 2 8 13 1
## 55 47 6 2 9 1
## 56 43 5 1 10 2
## 57 46 5 6 3 2
## 58 35 5 1 11 2
## 59 41 5 2 9 2
## 60 30 5 2 9 2
## 61 30 5 8 13 2
## 62 32 1 7 4 2
## 63 48 5 2 9 2
## 64 42 5 5 16 2
## 65 29 5 1 10 1
## 66 36 5 2 9 2
## 67 28 5 1 10 1
## 68 53 5 2 9 2
## 69 49 6 1 10 2
## 70 25 1 1 10 3
## 71 19 5 1 10 3
## 72 31 5 8 13 1
## 73 29 7 8 13 2
## 74 23 5 1 10 3
## 75 79 5 1 10 2
## 76 27 5 2 9 3
## 77 40 5 1 12 2
## 78 67 1 2 6 2
## 79 18 5 2 7 3
## 80 31 3 7 4 2
## 81 18 5 2 9 3
## 82 52 5 8 13 2
## 83 46 5 2 9 2
## 84 59 5 2 9 2
## 85 44 5 2 9 1
## 86 53 5 2 9 1
## 87 49 3 2 9 2
## 88 33 5 3 14 2
## 89 30 5 2 5 3
## 90 43 2 5 16 3
## 91 57 5 1 11 2
## 92 37 5 1 10 1
## 93 28 5 1 10 1
## 94 30 5 2 9 2
## 95 34 3 8 13 2
## 96 29 3 1 10 3
## 97 48 7 5 16 2
## 98 37 5 1 10 2
## 99 48 5 1 12 1
## 100 32 2 2 9 3
## 101 76 5 3 14 2
## 102 44 5 8 13 2
## 103 47 7 3 14 3
## 104 20 5 1 10 3
## 105 29 5 2 9 3
## 106 32 6 2 9 2
## 107 17 1 2 6 3
## 108 30 5 2 7 3
## 109 31 3 2 9 3
## 110 42 5 2 9 2
## 111 24 5 8 13 3
## 112 38 5 8 15 2
## 113 56 7 2 9 2
## 114 28 5 1 10 2
## 115 36 5 2 9 3
## 116 53 5 2 5 2
## 117 56 6 1 10 2
## 118 49 3 1 11 2
## 119 55 5 1 10 2
## 120 22 5 2 9 3
## 121 21 5 1 10 3
## 122 40 5 8 13 2
## 123 30 5 8 13 3
## 124 29 8 8 13 2
## 125 19 5 1 10 3
## 126 47 5 8 13 2
## 127 20 5 1 10 3
## 128 31 5 1 12 2
## 129 35 1 2 9 2
## 130 39 5 1 10 1
## 131 28 5 1 12 3
## 132 24 5 2 9 3
## 133 38 7 2 9 2
## 134 37 5 8 13 2
## 135 46 5 1 12 1
## 136 38 2 3 14 2
## 137 43 7 2 9 2
## 138 27 5 1 11 2
## 139 20 5 1 10 3
## 140 49 5 1 10 2
## 141 61 6 2 9 2
## 142 27 5 1 10 3
## 143 19 5 1 10 3
## 144 45 5 1 11 3
## 145 70 5 1 10 3
## 146 31 5 2 9 3
## 147 22 5 1 10 2
## 148 36 5 2 9 4
## 149 64 5 2 7 2
## 150 43 1 1 10 1
## 151 47 3 1 10 1
## 152 34 5 2 9 3
## 153 33 5 8 13 3
## 154 21 5 2 9 3
## 155 52 1 2 9 1
## 156 48 5 2 9 2
## 157 23 5 8 13 3
## 158 71 7 1 10 1
## 159 29 5 2 9 1
## 160 42 5 8 13 1
## 161 68 1 6 2 1
## 162 25 5 2 9 3
## 163 44 6 3 14 1
## 164 28 5 2 9 3
## 165 45 7 3 14 2
## 166 36 5 1 10 1
## 167 39 2 1 12 3
## 168 46 8 3 14 4
## 169 18 5 2 7 3
## 170 66 3 1 11 4
## 171 27 5 2 9 3
## 172 28 8 2 9 2
## 173 51 5 1 10 2
## 174 27 5 8 13 3
## 175 28 8 8 13 2
## 176 27 5 2 9 2
## 177 21 5 2 9 3
## 178 34 5 2 9 3
## 179 18 5 2 9 3
## 180 33 5 8 13 2
## 181 44 3 1 10 2
## 182 43 5 1 10 1
## 183 30 5 1 10 3
## 184 40 5 7 4 2
## 185 37 2 1 10 2
## 186 34 5 2 9 2
## 187 41 7 8 13 1
## 188 53 1 8 13 1
## 189 31 5 3 14 2
## 190 58 8 5 16 2
## 191 38 5 1 10 1
## 192 24 5 1 10 2
## 193 41 3 8 13 2
## 194 47 5 1 10 2
## 195 41 2 8 13 2
## 196 23 5 6 3 2
## 197 36 5 1 10 1
## 198 40 2 3 14 3
## 199 35 5 3 14 2
## 200 24 7 2 9 3
## 201 26 5 3 14 3
## 202 19 1 2 9 3
## 203 51 5 8 13 2
## 204 42 3 1 10 3
## 205 37 8 2 9 1
## 206 18 5 2 7 3
## 207 36 5 8 13 2
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## 7094 3 2 2 1 40
## 7095 2 4 3 1 40
## 7096 3 1 2 2 30
## 7097 5 3 2 2 40
## 7098 1 1 2 2 60
## 7099 3 3 2 1 20
## 7100 3 1 2 2 50
## 7101 6 1 2 2 80
## 7102 5 3 2 1 56
## 7103 6 6 2 1 40
## 7104 3 1 2 2 40
## 7105 3 1 2 2 40
## 7106 3 4 2 1 50
## 7107 6 4 2 1 28
## 7108 3 3 2 1 40
## 7109 2 3 2 1 40
## 7110 3 1 2 1 40
## 7111 3 3 2 2 50
## 7112 1 3 2 2 40
## 7113 3 2 2 1 60
## 7114 3 3 2 2 55
## 7115 3 1 2 2 40
## 7116 3 6 2 1 25
## 7117 1 6 2 2 20
## 7118 3 1 2 2 45
## 7119 5 3 2 2 50
## 7120 3 3 2 1 6
## 7121 3 1 2 2 35
## 7122 5 3 2 1 40
## 7123 5 1 2 2 40
## 7124 3 1 2 2 40
## 7125 4 1 2 2 40
## 7126 3 5 2 1 10
## 7127 2 3 2 2 25
## 7128 3 3 2 2 48
## 7129 5 3 2 2 15
## 7130 3 3 2 2 44
## 7131 3 1 2 2 30
## 7132 3 2 2 1 45
## 7133 2 6 2 1 20
## 7134 1 4 2 2 40
## 7135 3 1 2 2 40
## 7136 5 6 2 2 32
## 7137 6 1 2 2 13
## 7138 4 5 3 1 40
## 7139 4 1 2 2 40
## 7140 5 1 2 2 40
## 7141 5 1 2 2 50
## 7142 2 3 2 1 40
## native_region_num income capital_gain_log capital_loss_log
## 1 4 0 7.684784 0.000000
## 2 4 0 0.000000 0.000000
## 3 4 0 0.000000 0.000000
## 4 4 0 0.000000 0.000000
## 5 1 0 0.000000 0.000000
## 6 4 0 0.000000 0.000000
## 7 1 0 0.000000 0.000000
## 8 4 1 0.000000 0.000000
## 9 4 1 9.552866 0.000000
## 10 4 1 8.552367 0.000000
## 11 4 1 0.000000 0.000000
## 12 5 1 0.000000 0.000000
## 13 4 0 0.000000 0.000000
## 14 4 0 0.000000 0.000000
## 15 1 1 0.000000 0.000000
## 16 4 0 0.000000 0.000000
## 17 4 0 0.000000 0.000000
## 18 4 0 0.000000 0.000000
## 19 4 0 0.000000 0.000000
## 20 4 1 0.000000 0.000000
## 21 4 1 0.000000 0.000000
## 22 4 0 0.000000 0.000000
## 23 4 0 0.000000 0.000000
## 24 4 0 0.000000 7.622175
## 25 4 0 0.000000 0.000000
## 26 4 1 0.000000 0.000000
## 27 4 0 0.000000 0.000000
## 28 6 1 0.000000 0.000000
## 29 4 0 0.000000 0.000000
## 30 4 0 0.000000 0.000000
## 31 4 0 0.000000 0.000000
## 32 4 0 0.000000 0.000000
## 33 4 0 0.000000 7.250636
## 34 4 0 0.000000 0.000000
## 35 4 0 0.000000 0.000000
## 36 7 0 0.000000 0.000000
## 37 4 0 0.000000 0.000000
## 38 4 0 0.000000 0.000000
## 39 1 1 0.000000 0.000000
## 40 4 0 0.000000 0.000000
## 41 4 0 0.000000 0.000000
## 42 4 0 0.000000 0.000000
## 43 4 0 0.000000 0.000000
## 44 4 0 0.000000 0.000000
## 45 4 0 0.000000 0.000000
## 46 4 1 0.000000 0.000000
## 47 4 0 0.000000 0.000000
## 48 4 0 0.000000 0.000000
## 49 4 0 0.000000 0.000000
## 50 4 0 0.000000 0.000000
## 51 4 0 0.000000 0.000000
## 52 1 0 0.000000 0.000000
## 53 1 1 0.000000 7.551187
## 54 4 1 0.000000 0.000000
## 55 4 0 0.000000 0.000000
## 56 4 1 0.000000 0.000000
## 57 4 0 0.000000 0.000000
## 58 7 0 0.000000 0.000000
## 59 4 0 0.000000 0.000000
## 60 4 0 8.519989 0.000000
## 61 4 0 7.786552 0.000000
## 62 1 0 0.000000 0.000000
## 63 4 0 0.000000 0.000000
## 64 4 1 0.000000 0.000000
## 65 4 0 0.000000 0.000000
## 66 4 0 0.000000 0.000000
## 67 4 0 0.000000 0.000000
## 68 4 1 0.000000 0.000000
## 69 4 1 0.000000 0.000000
## 70 4 0 0.000000 0.000000
## 71 4 0 0.000000 0.000000
## 72 4 0 0.000000 0.000000
## 73 4 1 0.000000 0.000000
## 74 4 0 0.000000 0.000000
## 75 4 0 0.000000 0.000000
## 76 4 0 0.000000 0.000000
## 77 4 0 0.000000 0.000000
## 78 4 0 0.000000 0.000000
## 79 4 0 0.000000 0.000000
## 80 4 0 0.000000 0.000000
## 81 4 0 0.000000 0.000000
## 82 1 0 0.000000 0.000000
## 83 4 0 0.000000 0.000000
## 84 4 0 0.000000 0.000000
## 85 4 1 9.571157 0.000000
## 86 4 0 0.000000 0.000000
## 87 4 1 0.000000 0.000000
## 88 4 0 0.000000 0.000000
## 89 4 0 0.000000 0.000000
## 90 4 1 0.000000 0.000000
## 91 4 0 0.000000 0.000000
## 92 4 0 0.000000 0.000000
## 93 4 0 0.000000 0.000000
## 94 1 0 0.000000 7.361375
## 95 4 1 0.000000 0.000000
## 96 4 0 0.000000 0.000000
## 97 4 1 0.000000 7.551187
## 98 4 1 0.000000 0.000000
## 99 3 0 0.000000 0.000000
## 100 4 0 0.000000 0.000000
## 101 4 1 0.000000 0.000000
## 102 4 1 9.617471 0.000000
## 103 4 0 0.000000 0.000000
## 104 4 0 0.000000 0.000000
## 105 4 0 0.000000 0.000000
## 106 4 1 8.947546 0.000000
## 107 4 0 10.436935 0.000000
## 108 4 0 0.000000 0.000000
## 109 4 0 0.000000 0.000000
## 110 4 0 0.000000 0.000000
## 111 4 0 0.000000 0.000000
## 112 4 1 0.000000 0.000000
## 113 4 1 0.000000 7.543273
## 114 4 0 8.310169 0.000000
## 115 4 0 0.000000 0.000000
## 116 4 0 0.000000 0.000000
## 117 4 0 0.000000 0.000000
## 118 4 1 0.000000 0.000000
## 119 4 0 0.000000 0.000000
## 120 4 0 0.000000 0.000000
## 121 4 0 0.000000 0.000000
## 122 4 0 0.000000 0.000000
## 123 3 0 0.000000 0.000000
## 124 4 1 0.000000 0.000000
## 125 4 0 0.000000 0.000000
## 126 4 1 0.000000 0.000000
## 127 4 0 0.000000 7.450080
## 128 4 1 0.000000 0.000000
## 129 4 0 0.000000 0.000000
## 130 4 0 0.000000 0.000000
## 131 4 0 0.000000 0.000000
## 132 4 0 0.000000 7.474772
## 133 4 0 8.386401 0.000000
## 134 4 0 0.000000 0.000000
## 135 4 0 0.000000 0.000000
## 136 5 1 0.000000 0.000000
## 137 4 0 0.000000 0.000000
## 138 4 0 0.000000 0.000000
## 139 4 0 0.000000 0.000000
## 140 4 1 0.000000 0.000000
## 141 4 0 0.000000 0.000000
## 142 4 0 0.000000 0.000000
## 143 4 0 0.000000 0.000000
## 144 4 1 0.000000 7.355641
## 145 4 0 0.000000 0.000000
## 146 4 0 0.000000 0.000000
## 147 4 0 0.000000 0.000000
## 148 4 0 0.000000 0.000000
## 149 4 0 0.000000 7.687080
## 150 4 0 0.000000 0.000000
## 151 4 0 0.000000 0.000000
## 152 4 0 0.000000 0.000000
## 153 2 0 0.000000 0.000000
## 154 4 0 0.000000 0.000000
## 155 4 1 0.000000 0.000000
## 156 4 0 0.000000 0.000000
## 157 4 0 0.000000 0.000000
## 158 4 0 0.000000 7.504942
## 159 4 0 0.000000 0.000000
## 160 4 0 0.000000 0.000000
## 161 4 0 0.000000 0.000000
## 162 4 0 0.000000 0.000000
## 163 4 0 0.000000 0.000000
## 164 3 0 0.000000 0.000000
## 165 4 1 0.000000 0.000000
## 166 4 0 0.000000 0.000000
## 167 4 0 0.000000 0.000000
## 168 4 0 0.000000 0.000000
## 169 4 0 0.000000 0.000000
## 170 4 0 0.000000 0.000000
## 171 4 0 0.000000 7.591357
## 172 4 0 0.000000 0.000000
## 173 4 1 0.000000 7.589842
## 174 4 0 0.000000 0.000000
## 175 4 1 0.000000 0.000000
## 176 4 0 0.000000 0.000000
## 177 4 0 0.000000 0.000000
## 178 4 0 0.000000 0.000000
## 179 4 0 0.000000 0.000000
## 180 4 0 0.000000 0.000000
## 181 4 1 0.000000 0.000000
## 182 4 0 0.000000 0.000000
## 183 4 0 0.000000 0.000000
## 184 4 1 0.000000 0.000000
## 185 4 1 0.000000 0.000000
## 186 4 0 0.000000 0.000000
## 187 4 0 0.000000 0.000000
## 188 4 0 0.000000 0.000000
## 189 4 0 0.000000 0.000000
## 190 4 1 0.000000 0.000000
## 191 4 0 0.000000 0.000000
## 192 4 0 0.000000 0.000000
## 193 4 0 0.000000 0.000000
## 194 4 0 0.000000 0.000000
## 195 4 0 0.000000 0.000000
## 196 4 0 0.000000 0.000000
## 197 4 0 0.000000 0.000000
## 198 4 1 9.552866 0.000000
## 199 4 1 8.895493 0.000000
## 200 4 0 0.000000 0.000000
## 201 4 0 0.000000 7.537430
## 202 3 0 0.000000 0.000000
## 203 4 1 0.000000 0.000000
## 204 4 0 0.000000 7.201171
## 205 4 0 0.000000 0.000000
## 206 4 0 0.000000 0.000000
## 207 4 1 8.895493 0.000000
## 208 4 0 0.000000 0.000000
## 209 4 1 9.617471 0.000000
## 210 4 0 0.000000 0.000000
## 211 4 0 0.000000 0.000000
## 212 4 1 0.000000 0.000000
## 213 4 0 0.000000 0.000000
## 214 4 0 0.000000 0.000000
## 215 4 1 0.000000 0.000000
## 216 4 1 0.000000 0.000000
## 217 4 0 0.000000 0.000000
## 218 3 0 0.000000 0.000000
## 219 4 0 0.000000 0.000000
## 220 4 0 0.000000 0.000000
## 221 4 0 0.000000 0.000000
## 222 4 0 0.000000 0.000000
## 223 4 0 0.000000 7.699389
## 224 4 0 0.000000 0.000000
## 225 4 0 0.000000 0.000000
## 226 4 0 0.000000 0.000000
## 227 4 0 0.000000 0.000000
## 228 4 0 7.251345 0.000000
## 229 6 0 0.000000 0.000000
## 230 4 0 0.000000 0.000000
## 231 4 0 8.209308 0.000000
## 232 4 0 0.000000 0.000000
## 233 4 0 0.000000 0.000000
## 234 4 0 0.000000 0.000000
## 235 4 1 0.000000 0.000000
## 236 4 0 0.000000 0.000000
## 237 4 0 0.000000 0.000000
## 238 5 1 0.000000 0.000000
## 239 4 1 0.000000 0.000000
## 240 4 0 0.000000 0.000000
## 241 4 1 0.000000 0.000000
## 242 4 0 0.000000 0.000000
## 243 4 0 0.000000 0.000000
## 244 4 0 0.000000 0.000000
## 245 4 0 0.000000 7.462789
## 246 1 0 0.000000 0.000000
## 247 4 1 0.000000 0.000000
## 248 4 0 0.000000 0.000000
## 249 4 1 0.000000 7.589842
## 250 1 0 0.000000 0.000000
## 251 4 1 0.000000 0.000000
## 252 4 0 0.000000 0.000000
## 253 4 0 0.000000 0.000000
## 254 4 0 0.000000 0.000000
## 255 4 0 0.000000 0.000000
## 256 2 1 0.000000 0.000000
## 257 4 0 0.000000 0.000000
## 258 4 0 0.000000 0.000000
## 259 4 0 0.000000 0.000000
## 260 4 0 0.000000 0.000000
## 261 4 0 0.000000 0.000000
## 262 4 0 0.000000 0.000000
## 263 4 0 0.000000 0.000000
## 264 4 0 8.310169 0.000000
## 265 4 0 0.000000 0.000000
## 266 2 1 0.000000 0.000000
## 267 4 0 0.000000 0.000000
## 268 4 1 0.000000 0.000000
## 269 4 0 0.000000 0.000000
## 270 4 1 0.000000 0.000000
## 271 4 1 0.000000 0.000000
## 272 4 0 6.962243 0.000000
## 273 4 0 7.786552 0.000000
## 274 4 0 0.000000 0.000000
## 275 4 0 0.000000 0.000000
## 276 4 0 0.000000 0.000000
## 277 4 1 8.895493 0.000000
## 278 4 0 0.000000 0.000000
## 279 4 0 0.000000 0.000000
## 280 4 1 8.895493 0.000000
## 281 3 0 0.000000 0.000000
## 282 4 1 8.552367 0.000000
## 283 4 0 0.000000 0.000000
## 284 4 0 0.000000 0.000000
## 285 4 0 0.000000 0.000000
## 286 4 1 9.617471 0.000000
## 287 4 1 0.000000 0.000000
## 288 4 0 0.000000 0.000000
## 289 4 0 0.000000 0.000000
## 290 6 0 0.000000 0.000000
## 291 4 0 0.000000 0.000000
## 292 4 0 0.000000 0.000000
## 293 4 0 0.000000 0.000000
## 294 4 0 0.000000 0.000000
## 295 4 0 0.000000 0.000000
## 296 4 0 0.000000 0.000000
## 297 4 0 0.000000 0.000000
## 298 1 0 8.150468 0.000000
## 299 4 0 0.000000 0.000000
## 300 4 0 0.000000 0.000000
## 301 4 1 8.947546 0.000000
## 302 4 0 0.000000 0.000000
## 303 4 1 0.000000 0.000000
## 304 4 1 8.386401 0.000000
## 305 2 0 0.000000 0.000000
## 306 4 0 0.000000 0.000000
## 307 4 0 0.000000 0.000000
## 308 4 0 0.000000 0.000000
## 309 4 1 0.000000 0.000000
## 310 4 1 0.000000 0.000000
## 311 4 0 0.000000 0.000000
## 312 2 1 8.895493 0.000000
## 313 4 0 0.000000 0.000000
## 314 4 1 0.000000 0.000000
## 315 4 0 0.000000 0.000000
## 316 4 0 0.000000 0.000000
## 317 4 0 0.000000 0.000000
## 318 4 0 0.000000 0.000000
## 319 4 0 0.000000 0.000000
## 320 4 0 0.000000 0.000000
## 321 4 0 0.000000 0.000000
## 322 4 0 0.000000 7.303843
## 323 4 0 0.000000 0.000000
## 324 4 0 0.000000 0.000000
## 325 4 0 0.000000 0.000000
## 326 4 0 0.000000 0.000000
## 327 4 0 0.000000 0.000000
## 328 4 1 0.000000 7.543273
## 329 4 0 0.000000 0.000000
## 330 4 0 7.626083 0.000000
## 331 4 0 0.000000 0.000000
## 332 4 0 0.000000 0.000000
## 333 4 0 0.000000 0.000000
## 334 4 0 0.000000 0.000000
## 335 4 0 0.000000 0.000000
## 336 4 0 0.000000 0.000000
## 337 4 0 0.000000 0.000000
## 338 4 0 0.000000 0.000000
## 339 1 0 0.000000 0.000000
## 340 4 0 0.000000 0.000000
## 341 4 0 0.000000 0.000000
## 342 4 1 8.895493 0.000000
## 343 4 1 8.895493 0.000000
## 344 4 0 0.000000 0.000000
## 345 4 0 0.000000 0.000000
## 346 4 0 0.000000 0.000000
## 347 4 0 0.000000 0.000000
## 348 4 0 0.000000 0.000000
## 349 5 0 0.000000 0.000000
## 350 4 0 0.000000 0.000000
## 351 4 1 0.000000 0.000000
## 352 4 0 0.000000 0.000000
## 353 4 1 0.000000 0.000000
## 354 4 0 0.000000 0.000000
## 355 4 1 0.000000 0.000000
## 356 4 1 0.000000 0.000000
## 357 4 0 0.000000 0.000000
## 358 4 1 0.000000 0.000000
## 359 4 0 0.000000 0.000000
## 360 3 0 0.000000 0.000000
## 361 4 0 0.000000 0.000000
## 362 4 1 0.000000 0.000000
## 363 4 0 0.000000 0.000000
## 364 4 1 0.000000 7.355641
## 365 4 0 0.000000 0.000000
## 366 4 0 0.000000 0.000000
## 367 4 0 0.000000 0.000000
## 368 4 0 0.000000 0.000000
## 369 4 1 0.000000 0.000000
## 370 4 0 0.000000 0.000000
## 371 4 0 0.000000 0.000000
## 372 4 0 0.000000 0.000000
## 373 4 1 0.000000 0.000000
## 374 4 0 0.000000 0.000000
## 375 4 0 0.000000 0.000000
## 376 4 0 0.000000 0.000000
## 377 4 0 0.000000 0.000000
## 378 4 0 0.000000 0.000000
## 379 4 0 0.000000 0.000000
## 380 4 0 0.000000 0.000000
## 381 4 0 0.000000 0.000000
## 382 4 0 0.000000 7.757906
## 383 4 0 0.000000 0.000000
## 384 4 0 0.000000 0.000000
## 385 4 0 0.000000 0.000000
## 386 4 0 0.000000 0.000000
## 387 4 0 0.000000 0.000000
## 388 4 1 0.000000 7.789869
## 389 4 0 0.000000 0.000000
## 390 4 0 0.000000 0.000000
## 391 4 1 0.000000 0.000000
## 392 4 0 0.000000 0.000000
## 393 4 0 0.000000 0.000000
## 394 1 1 8.947546 0.000000
## 395 4 0 0.000000 0.000000
## 396 4 0 0.000000 0.000000
## 397 4 0 0.000000 0.000000
## 398 4 0 0.000000 0.000000
## 399 4 1 0.000000 0.000000
## 400 4 1 0.000000 0.000000
## 401 4 0 0.000000 0.000000
## 402 4 0 0.000000 0.000000
## 403 4 1 0.000000 0.000000
## 404 4 0 0.000000 0.000000
## 405 7 0 0.000000 7.687080
## 406 4 1 0.000000 7.589842
## 407 4 0 0.000000 0.000000
## 408 4 0 0.000000 0.000000
## 409 4 1 0.000000 7.543273
## 410 4 0 0.000000 0.000000
## 411 4 0 0.000000 0.000000
## 412 4 0 0.000000 0.000000
## 413 4 0 0.000000 0.000000
## 414 4 1 9.617471 0.000000
## 415 4 0 0.000000 0.000000
## 416 4 1 0.000000 0.000000
## 417 4 0 0.000000 0.000000
## 418 4 0 0.000000 0.000000
## 419 4 0 0.000000 0.000000
## 420 4 0 0.000000 0.000000
## 421 4 0 0.000000 0.000000
## 422 4 0 7.685703 0.000000
## 423 4 1 0.000000 0.000000
## 424 4 0 0.000000 0.000000
## 425 4 0 0.000000 0.000000
## 426 4 0 0.000000 0.000000
## 427 4 0 0.000000 7.250636
## 428 1 0 0.000000 0.000000
## 429 4 1 0.000000 0.000000
## 430 4 0 0.000000 0.000000
## 431 4 0 0.000000 0.000000
## 432 4 0 0.000000 0.000000
## 433 4 0 7.684784 0.000000
## 434 4 1 0.000000 0.000000
## 435 2 0 0.000000 7.591357
## 436 4 1 0.000000 0.000000
## 437 4 0 6.388561 0.000000
## 438 4 0 0.000000 0.000000
## 439 4 0 0.000000 0.000000
## 440 4 0 0.000000 0.000000
## 441 4 0 0.000000 0.000000
## 442 4 0 0.000000 0.000000
## 443 4 0 0.000000 0.000000
## 444 4 1 0.000000 0.000000
## 445 4 0 0.000000 0.000000
## 446 4 0 0.000000 0.000000
## 447 4 0 0.000000 0.000000
## 448 4 0 0.000000 0.000000
## 449 4 0 0.000000 0.000000
## 450 4 0 0.000000 0.000000
## 451 4 0 0.000000 0.000000
## 452 4 1 0.000000 0.000000
## 453 4 1 0.000000 0.000000
## 454 1 1 0.000000 0.000000
## 455 4 1 0.000000 0.000000
## 456 4 1 0.000000 0.000000
## 457 4 0 0.000000 0.000000
## 458 4 0 0.000000 0.000000
## 459 4 0 0.000000 0.000000
## 460 4 0 0.000000 0.000000
## 461 4 0 0.000000 0.000000
## 462 4 0 0.000000 0.000000
## 463 4 0 0.000000 0.000000
## 464 4 0 0.000000 0.000000
## 465 4 0 0.000000 0.000000
## 466 4 0 0.000000 0.000000
## 467 4 0 0.000000 0.000000
## 468 4 0 0.000000 0.000000
## 469 4 1 0.000000 7.589842
## 470 4 1 0.000000 0.000000
## 471 4 1 0.000000 0.000000
## 472 4 0 0.000000 0.000000
## 473 4 0 0.000000 0.000000
## 474 4 0 0.000000 0.000000
## 475 4 0 0.000000 0.000000
## 476 4 0 0.000000 0.000000
## 477 4 0 0.000000 0.000000
## 478 4 0 0.000000 0.000000
## 479 4 0 0.000000 0.000000
## 480 4 0 0.000000 0.000000
## 481 3 0 0.000000 0.000000
## 482 4 0 0.000000 0.000000
## 483 4 0 0.000000 0.000000
## 484 4 0 0.000000 0.000000
## 485 4 0 6.388561 0.000000
## 486 4 0 0.000000 0.000000
## 487 4 0 0.000000 0.000000
## 488 4 0 0.000000 0.000000
## 489 4 0 0.000000 0.000000
## 490 4 1 9.617471 0.000000
## 491 4 0 0.000000 0.000000
## 492 4 0 0.000000 0.000000
## 493 4 0 0.000000 0.000000
## 494 4 0 0.000000 0.000000
## 495 4 0 0.000000 0.000000
## 496 4 0 0.000000 0.000000
## 497 4 0 0.000000 0.000000
## 498 1 0 0.000000 0.000000
## 499 4 0 0.000000 0.000000
## 500 4 0 0.000000 0.000000
## 501 3 0 0.000000 0.000000
## 502 4 0 0.000000 0.000000
## 503 4 0 0.000000 0.000000
## 504 3 0 0.000000 0.000000
## 505 4 0 0.000000 0.000000
## 506 4 0 0.000000 0.000000
## 507 4 0 0.000000 0.000000
## 508 4 0 0.000000 0.000000
## 509 4 0 0.000000 0.000000
## 510 4 0 0.000000 0.000000
## 511 4 0 0.000000 7.230563
## 512 4 0 0.000000 0.000000
## 513 4 0 0.000000 0.000000
## 514 4 1 0.000000 0.000000
## 515 4 0 0.000000 0.000000
## 516 4 0 0.000000 0.000000
## 517 4 0 0.000000 0.000000
## 518 4 0 0.000000 0.000000
## 519 4 0 0.000000 0.000000
## 520 4 1 0.000000 0.000000
## 521 4 1 9.617471 0.000000
## 522 4 1 8.947546 0.000000
## 523 4 0 0.000000 0.000000
## 524 4 1 0.000000 0.000000
## 525 4 1 0.000000 0.000000
## 526 4 0 0.000000 0.000000
## 527 4 1 0.000000 0.000000
## 528 4 0 0.000000 0.000000
## 529 4 0 0.000000 0.000000
## 530 4 0 0.000000 0.000000
## 531 7 0 0.000000 0.000000
## 532 4 0 0.000000 0.000000
## 533 4 0 0.000000 0.000000
## 534 4 1 0.000000 0.000000
## 535 4 1 9.906084 0.000000
## 536 4 0 0.000000 0.000000
## 537 4 0 0.000000 0.000000
## 538 4 0 0.000000 0.000000
## 539 4 0 0.000000 0.000000
## 540 4 0 0.000000 0.000000
## 541 4 0 0.000000 0.000000
## 542 4 0 0.000000 0.000000
## 543 4 0 0.000000 0.000000
## 544 4 0 0.000000 0.000000
## 545 4 0 0.000000 0.000000
## 546 4 0 0.000000 0.000000
## 547 4 0 0.000000 0.000000
## 548 4 0 0.000000 0.000000
## 549 4 0 0.000000 0.000000
## 550 4 0 0.000000 0.000000
## 551 4 0 0.000000 0.000000
## 552 4 0 0.000000 0.000000
## 553 4 0 0.000000 0.000000
## 554 4 0 0.000000 0.000000
## 555 4 1 0.000000 0.000000
## 556 4 0 0.000000 0.000000
## 557 4 0 0.000000 0.000000
## 558 1 0 0.000000 0.000000
## 559 4 0 0.000000 0.000000
## 560 4 0 0.000000 0.000000
## 561 4 0 0.000000 0.000000
## 562 4 1 0.000000 0.000000
## 563 4 1 0.000000 0.000000
## 564 4 0 0.000000 0.000000
## 565 4 1 0.000000 0.000000
## 566 4 0 0.000000 0.000000
## 567 4 0 8.519989 0.000000
## 568 4 0 0.000000 0.000000
## 569 4 0 0.000000 0.000000
## 570 4 0 0.000000 0.000000
## 571 4 0 0.000000 0.000000
## 572 4 0 0.000000 0.000000
## 573 4 0 0.000000 0.000000
## 574 4 1 0.000000 7.589842
## 575 4 0 0.000000 0.000000
## 576 4 1 0.000000 0.000000
## 577 4 0 0.000000 0.000000
## 578 4 0 0.000000 0.000000
## 579 4 0 0.000000 0.000000
## 580 4 0 0.000000 0.000000
## 581 4 1 0.000000 0.000000
## 582 4 1 0.000000 0.000000
## 583 4 0 0.000000 0.000000
## 584 4 0 0.000000 0.000000
## 585 4 0 0.000000 0.000000
## 586 4 0 0.000000 0.000000
## 587 4 0 0.000000 0.000000
## 588 4 0 0.000000 0.000000
## 589 4 1 0.000000 7.543273
## 590 4 0 0.000000 0.000000
## 591 4 0 0.000000 0.000000
## 592 4 0 0.000000 0.000000
## 593 4 1 0.000000 0.000000
## 594 4 1 8.947546 0.000000
## 595 4 0 0.000000 0.000000
## 596 4 0 0.000000 0.000000
## 597 4 0 0.000000 0.000000
## 598 4 1 0.000000 7.551187
## 599 4 0 7.684784 0.000000
## 600 4 0 0.000000 0.000000
## 601 4 0 0.000000 0.000000
## 602 4 0 0.000000 0.000000
## 603 4 0 0.000000 0.000000
## 604 4 0 0.000000 0.000000
## 605 4 0 0.000000 0.000000
## 606 4 0 0.000000 0.000000
## 607 4 1 0.000000 0.000000
## 608 4 0 0.000000 0.000000
## 609 4 0 0.000000 0.000000
## 610 4 0 0.000000 0.000000
## 611 4 0 8.832004 0.000000
## 612 4 0 0.000000 0.000000
## 613 4 0 0.000000 0.000000
## 614 4 0 6.962243 0.000000
## 615 4 0 0.000000 0.000000
## 616 4 0 0.000000 0.000000
## 617 4 0 0.000000 0.000000
## 618 4 0 0.000000 0.000000
## 619 4 0 0.000000 0.000000
## 620 4 1 9.617471 0.000000
## 621 4 0 0.000000 0.000000
## 622 4 0 0.000000 0.000000
## 623 4 0 0.000000 0.000000
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## [ reached 'max' / getOption("max.print") -- omitted 25420 rows ]
# Fit logistic regression model
model2 <- glm(income ~ ., family = binomial, data = adult_dum)
# Calculate VIF
vif_values <- vif(model2)
vif_values
## age workclass_num education_level_num years_education
## 1.064021 1.104549 1.497421 1.586600
## marital_status_num occupation_num household_role_num race_num
## 1.026590 1.198104 1.640140 1.063348
## gender_num hours_per_week native_region_num capital_gain_log
## 1.648998 1.075349 1.062321 1.021075
## capital_loss_log
## 1.008989
# Visualize correlation matrix of predictors
# Visualize correlation matrix of predictors
cor_matrix <- cor(dplyr::select(adult_dum, -income))
corrplot(cor_matrix, method='circle')
library(broom)
model <- glm(income ~ ., data = adult2, family = binomial)
plot(model, which = 4, id.n = 10)
# Extract model results
model.data <- augment(model) %>%
dplyr::mutate(index = dplyr::row_number()) # Use row_number() instead of n()
# Show the top 5
model.data %>% top_n(10, .cooksd)
## # A tibble: 10 × 21
## income age workclass education_level years_education marital_status
## <fct> <dbl> <fct> <fct> <dbl> <fct>
## 1 >50K 42 LocGov highsch 7 divorce
## 2 >50K 61 Private highsch 5 divorce
## 3 >50K 36 Private undergrad 15 notmarried
## 4 >50K 51 SelfEmpNotInc assoc 10 divorce
## 5 <=50K 51 Private phd 16 married
## 6 >50K 46 SelfEmpNotInc undergrad 13 divorce
## 7 >50K 42 Private highsch 6 married
## 8 >50K 53 Private primary 3 married
## 9 >50K 27 SelfEmpNotInc assoc 10 married
## 10 >50K 22 LocGov primary 3 notmarried
## # ℹ 15 more variables: occupation <fct>, household_role <fct>, race <fct>,
## # gender <fct>, hours_per_week <dbl>, native_region <fct>,
## # capital_gain_log <dbl>, capital_loss_log <dbl>, .fitted <dbl>,
## # .resid <dbl>, .hat <dbl>, .sigma <dbl>, .cooksd <dbl>, .std.resid <dbl>,
## # index <int>
# Cook's D influencial outliers
ggplot(model.data, aes(index, .std.resid)) +
geom_point(aes(color = income), alpha = 0.5) +
theme_bw()
# Influence Plot and list of top influencers - Continuous
influencePlot(model, id=list(method="noteworthy", n=5, cex=.75, col=carPalette()[1], location="lr"),
main="Influence Plot", sub="Circle area is proportial to Cook's Distance - Continuous" )
## StudRes Hat CookD
## 5386 3.112180440 1.247824e-03 3.323438e-03
## 7742 3.314233371 1.800507e-04 9.687007e-04
## 10459 2.951390005 1.945303e-03 3.179724e-03
## 11135 -0.004594035 2.593294e-01 9.648228e-08
## 12531 3.228367668 1.301133e-04 5.329337e-04
## 18537 1.922555010 3.259376e-02 3.838740e-03
## 20074 -0.002941657 3.464054e-01 6.303461e-08
## 23274 3.327380266 9.455825e-05 5.365417e-04
## 24597 -0.001745949 1.425239e-01 6.199444e-09
## 25150 3.436255742 1.390405e-04 1.126862e-03
## 31369 3.012334359 2.259192e-03 4.329866e-03
## 32215 3.686489185 1.310298e-04 2.515152e-03
## 32263 -0.001676829 1.323018e-01 5.216935e-09
## 32305 -0.007845815 9.200691e-01 1.491191e-05
# Remove influential data points
model.data %>%
filter(abs(.std.resid) > 3)
## # A tibble: 15 × 21
## income age workclass education_level years_education marital_status
## <fct> <dbl> <fct> <fct> <dbl> <fct>
## 1 >50K 52 Private highsch 9 widowed
## 2 >50K 61 Private highsch 5 divorce
## 3 >50K 19 Private secondary 4 notmarried
## 4 >50K 29 Private assoc 10 notmarried
## 5 >50K 39 Private highsch 9 notmarried
## 6 >50K 28 Private highsch 5 notmarried
## 7 >50K 61 StateGov highsch 7 widowed
## 8 >50K 24 Private highsch 9 divorce
## 9 >50K 27 LocGov assoc 10 notmarried
## 10 >50K 54 Private highsch 7 divorce
## 11 >50K 27 StateGov highsch 9 notmarried
## 12 >50K 22 Private assoc 10 notmarried
## 13 >50K 33 Private secondary 4 notmarried
## 14 >50K 27 Private highsch 9 notmarried
## 15 >50K 22 LocGov primary 3 notmarried
## # ℹ 15 more variables: occupation <fct>, household_role <fct>, race <fct>,
## # gender <fct>, hours_per_week <dbl>, native_region <fct>,
## # capital_gain_log <dbl>, capital_loss_log <dbl>, .fitted <dbl>,
## # .resid <dbl>, .hat <dbl>, .sigma <dbl>, .cooksd <dbl>, .std.resid <dbl>,
## # index <int>
# Remove influential data points based on standardized residuals
adult.out <- adult2 %>%
slice(-which(abs(model.data$.std.resid) > 3))
model_out <- glm(income ~ ., data = adult.out, family = binomial)
plot(model_out, which = 4, id.n = 10)
# Influence Plot and list of top influencers - Continuous
influencePlot(model_out, id=list(method="noteworthy", n=5, cex=.75, col=carPalette()[1], location="lr"),
main="Influence Plot", sub="Circle area is proportial to Cook's Distance - Continuous" )
## StudRes Hat CookD
## 4807 1.983148978 0.0198998771 2.702839e-03
## 10455 2.996330504 0.0018273002 3.402185e-03
## 11131 -0.004656880 0.2641420672 1.019222e-07
## 12805 3.016212551 0.0005107485 1.061303e-03
## 18454 2.999490886 0.0013090848 2.507563e-03
## 18528 1.984936996 0.0312428704 4.203757e-03
## 20064 -0.002968960 0.3502876077 6.547146e-08
## 23946 2.990612371 0.0002361915 4.599334e-04
## 24585 -0.001751131 0.1428122273 6.251995e-09
## 31356 3.008506119 0.0023031492 4.360378e-03
## 32248 -0.001685655 0.1331326041 5.312552e-09
## 32290 -0.008195518 0.9260482958 1.779922e-05
library(tidyverse)
library(broom)
# Fit the logistic regression model
model <- glm(income ~ ., data = adult_dum, family = binomial)
# Predict the probability (p) of diabetes positivity
probabilities <- predict(model, type = "response")
# Create binary predicted classes based on a threshold (e.g., 0.5)
predicted_classes <- ifelse(probabilities > 0.24, "0", "1")
# Visualize the relationship between a continuous predictor (e.g., age) and logit values
logit_values <- log(probabilities / (1 - probabilities))
# All One-Hot-Encoded variables
ggplot(adult_dum,(aes(x=logit_values,y=income)))+geom_point()+geom_smooth(method="loess",span=.9)
## `geom_smooth()` using formula = 'y ~ x'
# logit against age
ggplot(adult_dum,(aes(x=logit_values,y=age)))+geom_point()+geom_smooth(method="loess",span=.9)
## `geom_smooth()` using formula = 'y ~ x'
# logit against years_education
ggplot(adult_dum,(aes(x=logit_values,y=years_education)))+geom_point()+geom_smooth(method="loess",span=.9)
## `geom_smooth()` using formula = 'y ~ x'
# Check for linearity in continuous variables
boxTidwell(income ~ age + years_education, data = adult_dum)
## Warning in boxTidwell.default(y, X1, X2, max.iter = max.iter, tol = tol, :
## maximum iterations exceeded
## MLE of lambda Score Statistic (t) Pr(>|t|)
## age -1.1111 -29.978 < 2.2e-16 ***
## years_education 3.0465 19.918 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## iterations = 26
##
## Score test for null hypothesis that all lambdas = 1:
## F = 660.28, df = 2 and 32557, Pr(>F) = < 2.2e-16
# Set a seed for reproducibility
set.seed(1234)
# Calculate the number of rows to select
sample_size <- round(0.8 * nrow(adult2))
# Create a random sample of indices
index <- sample(1:nrow(adult2), size = sample_size, replace = FALSE)
# Create the training set using the selected indices
training_set <- adult2[index, ]
# Create the testing set with the remaining indices
testing_set <- adult2[-index, ]
nrow(training_set)
## [1] 26050
nrow(testing_set)
## [1] 6512
testing_set
## age workclass education_level years_education marital_status
## 4 53 Private highsch 7 married
## 5 28 Private undergrad 13 married
## 8 52 SelfEmpNotInc highsch 9 married
## 9 31 Private master 14 notmarried
## 11 37 Private assoc 10 married
## 12 30 StateGov undergrad 13 married
## 17 25 SelfEmpNotInc highsch 9 notmarried
## 19 38 Private highsch 7 married
## 21 40 Private phd 16 married
## 27 19 Private highsch 9 notmarried
## 33 45 Private undergrad 13 divorce
## 37 21 Private assoc 10 notmarried
## 39 31 Private assoc 10 married
## 46 57 FedGov undergrad 13 married
## 47 53 Private highsch 9 married
## 52 18 Private highsch 9 notmarried
## 55 47 SelfEmpInc highsch 9 divorce
## 56 43 Private assoc 10 married
## 62 32 unemployed secondary 4 married
## 66 36 Private highsch 9 married
## 70 25 unemployed assoc 10 notmarried
## 71 19 Private assoc 10 notmarried
## 72 31 Private undergrad 13 divorce
## 78 67 unemployed highsch 6 married
## 89 30 Private highsch 5 notmarried
## 90 43 FedGov phd 16 notmarried
## 93 28 Private assoc 10 divorce
## 96 29 LocGov assoc 10 notmarried
## 98 37 Private assoc 10 married
## 99 48 Private assoc 12 divorce
## 104 20 Private assoc 10 notmarried
## 112 38 Private undergrad 15 married
## 114 28 Private assoc 10 married
## 116 53 Private highsch 5 married
## 117 56 SelfEmpInc assoc 10 married
## 128 31 Private assoc 12 married
## 132 24 Private highsch 9 notmarried
## 136 38 FedGov master 14 married
## 142 27 Private assoc 10 notmarried
## 143 19 Private assoc 10 notmarried
## 151 47 LocGov assoc 10 divorce
## 154 21 Private highsch 9 notmarried
## 155 52 unemployed highsch 9 divorce
## 166 36 Private assoc 10 divorce
## 168 46 StateGov master 14 widowed
## 178 34 Private highsch 9 notmarried
## 190 58 StateGov phd 16 married
## 197 36 Private assoc 10 divorce
## 201 26 Private master 14 notmarried
## 205 37 StateGov highsch 9 divorce
## 212 37 Private highsch 9 married
## 213 35 Private assoc 10 notmarried
## 223 90 Private highsch 9 notmarried
## 226 18 Private highsch 9 notmarried
## 240 23 Private highsch 9 notmarried
## 243 24 StateGov assoc 12 married
## 245 38 Private assoc 10 divorce
## 246 56 Private highsch 9 married
## 247 58 Private highsch 9 married
## 255 58 Private assoc 10 notmarried
## 257 20 Private highsch 9 notmarried
## 266 37 SelfEmpInc assoc 10 married
## 268 64 Private highsch 9 married
## 276 43 Private highsch 9 married
## 281 22 Private undergrad 13 notmarried
## 283 34 Private assoc 12 divorce
## 288 50 Private assoc 10 divorce
## 295 27 Private undergrad 13 notmarried
## 297 37 SelfEmpInc undergrad 13 divorce
## 299 24 Private highsch 9 notmarried
## 306 43 Private highsch 9 divorce
## 309 35 Private assoc 12 married
## 311 26 Private undergrad 13 notmarried
## 314 36 SelfEmpNotInc undergrad 13 divorce
## 323 35 Private highsch 9 divorce
## 326 63 SelfEmpNotInc highsch 9 married
## 333 47 Private assoc 11 notmarried
## 335 53 Private highsch 9 married
## 342 38 Private assoc 11 married
## 343 36 StateGov highsch 9 married
## 354 46 LocGov highsch 7 married
## 355 59 unemployed undergrad 13 married
## 356 38 FedGov highsch 9 married
## 357 65 Private highsch 7 widowed
## 360 26 SelfEmpNotInc highsch 5 married
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## 31541 61 unemployed highsch 9 married
## 31542 26 Private assoc 11 notmarried
## 31552 33 Private undergrad 13 married
## 31553 26 Private highsch 9 divorce
## 31556 29 Private primary 3 married
## 31562 57 SelfEmpNotInc phd 16 married
## 31569 28 unemployed highsch 9 notmarried
## 31570 46 SelfEmpNotInc phd 16 notmarried
## 31572 48 Private highsch 9 notmarried
## 31580 38 Private highsch 9 notmarried
## 31587 49 Private highsch 9 divorce
## 31591 33 Private highsch 9 notmarried
## 31592 72 unemployed undergrad 15 married
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## 31599 30 Private highsch 9 married
## 31600 28 Private highsch 5 married
## 31602 18 Private highsch 6 notmarried
## 31605 52 Private highsch 9 married
## 31610 48 Private assoc 12 married
## 31619 42 Private assoc 10 married
## 31622 66 unemployed highsch 5 married
## 31629 53 FedGov undergrad 13 married
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## 31641 18 SelfEmpInc highsch 9 notmarried
## 31646 32 SelfEmpNotInc undergrad 13 married
## 31665 61 unemployed assoc 10 divorce
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## 31673 27 Private highsch 9 notmarried
## 31677 34 SelfEmpInc highsch 9 notmarried
## 31678 43 Private highsch 9 married
## 31681 34 Private highsch 9 married
## 31695 58 Private assoc 10 married
## 31697 90 unemployed highsch 9 married
## 31702 36 Private highsch 8 notmarried
## 31706 51 SelfEmpNotInc highsch 9 married
## 31715 43 Private undergrad 13 notmarried
## 31719 34 SelfEmpInc assoc 10 notmarried
## 31726 30 Private assoc 10 divorce
## 31740 36 unemployed highsch 9 divorce
## 31744 38 LocGov undergrad 15 married
## 31746 57 FedGov undergrad 15 divorce
## 31748 42 Private undergrad 13 divorce
## 31756 35 Private highsch 9 notmarried
## 31757 28 Private highsch 9 notmarried
## 31760 18 Private highsch 9 notmarried
## 31761 25 Private highsch 9 notmarried
## 31762 44 SelfEmpInc undergrad 13 married
## 31764 39 Private assoc 10 married
## 31771 37 Private highsch 9 divorce
## 31795 30 SelfEmpInc assoc 10 married
## 31798 36 Private assoc 10 married
## 31801 29 Private assoc 10 married
## 31803 30 Private master 14 married
## 31806 19 Private assoc 10 notmarried
## 31808 51 SelfEmpNotInc undergrad 13 married
## 31809 53 Private assoc 12 divorce
## 31810 54 FedGov highsch 9 married
## 31813 47 SelfEmpNotInc assoc 10 married
## 31814 44 Private undergrad 13 married
## 31821 39 Private highsch 5 married
## 31838 31 Private assoc 12 notmarried
## 31840 28 Private assoc 12 notmarried
## 31846 43 Private assoc 10 married
## 31852 42 SelfEmpNotInc undergrad 15 divorce
## 31864 40 SelfEmpNotInc undergrad 13 married
## 31867 34 Private highsch 9 notmarried
## 31868 18 Private highsch 6 notmarried
## 31880 27 Private highsch 9 divorce
## 31885 41 SelfEmpInc master 14 married
## 31886 35 unemployed assoc 10 notmarried
## 31890 38 Private assoc 12 married
## 31894 49 LocGov master 14 widowed
## 31902 33 Private undergrad 13 notmarried
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## 31909 70 unemployed assoc 10 widowed
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## 31927 29 Private assoc 11 notmarried
## 31929 45 Private highsch 9 married
## 31932 34 Private undergrad 13 divorce
## 31944 24 Private assoc 10 notmarried
## 31948 68 Private assoc 10 divorce
## 31954 37 Private undergrad 13 married
## 31957 21 Private highsch 7 notmarried
## 31958 26 Private highsch 9 married
## 31965 24 Private highsch 9 notmarried
## 31972 37 SelfEmpNotInc master 14 notmarried
## 31976 25 Private assoc 10 notmarried
## 31979 41 Private highsch 9 married
## 31988 22 Private assoc 10 notmarried
## 31990 22 FedGov assoc 10 notmarried
## 31992 48 SelfEmpInc assoc 10 divorce
## 32001 25 Private assoc 10 divorce
## 32004 51 SelfEmpInc undergrad 13 married
## 32009 58 unemployed primary 2 married
## 32016 46 Private undergrad 13 notmarried
## 32020 23 Private undergrad 13 notmarried
## 32022 46 Private assoc 12 married
## 32024 53 Private highsch 8 divorce
## 32025 53 Private highsch 9 married
## 32026 50 Private assoc 10 married
## 32028 46 LocGov master 14 divorce
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## 32044 56 FedGov undergrad 13 divorce
## 32050 32 Private master 14 married
## 32055 23 Private undergrad 13 notmarried
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## 32066 45 Private highsch 8 married
## 32075 30 Private assoc 11 married
## 32079 25 Private undergrad 13 notmarried
## 32080 40 Private undergrad 13 married
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## 32085 48 Private highsch 5 widowed
## 32087 53 Private highsch 7 married
## 32089 21 unemployed highsch 9 notmarried
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## 32093 39 Private undergrad 13 married
## 32107 45 SelfEmpNotInc assoc 10 divorce
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## 32124 44 FedGov assoc 10 notmarried
## 32126 55 Private highsch 9 married
## 32131 38 SelfEmpNotInc master 14 married
## 32134 52 FedGov highsch 9 married
## 32136 48 Private highsch 9 divorce
## 32137 37 Private master 14 notmarried
## 32140 47 SelfEmpNotInc undergrad 15 married
## 32142 34 Private assoc 10 notmarried
## 32153 22 Private highsch 7 divorce
## 32155 34 Private highsch 9 married
## 32159 19 Private highsch 9 notmarried
## 32161 23 Private assoc 10 notmarried
## 32166 51 Private assoc 10 notmarried
## 32167 42 LocGov undergrad 13 divorce
## 32174 34 SelfEmpInc master 14 married
## 32180 58 Private highsch 6 married
## 32181 19 Private assoc 10 notmarried
## 32189 29 Private undergrad 13 notmarried
## 32193 64 StateGov assoc 10 divorce
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## 32216 55 Private assoc 10 divorce
## 32217 45 Private highsch 9 married
## 32218 22 Private highsch 9 notmarried
## 32225 40 Private no_edu 1 notmarried
## 32226 51 Private highsch 5 married
## 32230 22 Private assoc 10 notmarried
## 32234 44 LocGov assoc 10 divorce
## 32239 47 Private undergrad 15 married
## 32240 36 Private highsch 9 divorce
## 32243 33 Private highsch 9 divorce
## 32247 32 SelfEmpNotInc assoc 10 married
## 32249 24 Private master 14 notmarried
## 32251 43 Private undergrad 13 married
## 32255 31 Private assoc 10 married
## 32259 51 SelfEmpInc undergrad 15 married
## 32262 30 Private highsch 9 notmarried
## 32266 37 LocGov undergrad 13 married
## 32287 28 Private undergrad 13 notmarried
## 32288 54 LocGov phd 16 married
## 32292 59 unemployed assoc 10 notmarried
## 32308 42 SelfEmpInc undergrad 13 married
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## 32318 63 unemployed assoc 10 divorce
## 32320 54 Private highsch 9 widowed
## 32321 37 Private highsch 9 married
## 32326 31 StateGov assoc 10 notmarried
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## 32338 23 Private undergrad 13 notmarried
## 32341 75 SelfEmpNotInc master 14 widowed
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## 32352 60 Private secondary 4 married
## 32357 23 Private assoc 10 notmarried
## 32365 45 Private assoc 11 married
## 32374 22 Private undergrad 13 notmarried
## 32387 59 FedGov highsch 9 married
## 32396 22 Private highsch 9 notmarried
## 32399 24 Private highsch 9 notmarried
## 32413 61 Private assoc 10 divorce
## 32421 23 Private undergrad 13 notmarried
## 32426 23 Private primary 2 married
## 32428 41 Private highsch 9 divorce
## 32431 61 SelfEmpNotInc secondary 4 married
## 32435 34 Private highsch 9 notmarried
## 32436 25 Private highsch 9 married
## 32438 19 Private highsch 9 notmarried
## 32440 23 Private undergrad 13 notmarried
## 32443 25 Private assoc 10 notmarried
## 32456 36 SelfEmpNotInc undergrad 13 married
## 32461 62 Private highsch 9 widowed
## 32472 28 Private assoc 10 divorce
## 32475 36 Private assoc 12 married
## 32478 49 unemployed highsch 8 divorce
## 32479 21 Private assoc 12 notmarried
## 32485 48 Private assoc 10 divorce
## 32491 60 unemployed highsch 5 divorce
## 32502 71 Private highsch 5 married
## 32508 50 Private undergrad 13 married
## 32513 20 Private highsch 9 notmarried
## 32518 36 Private secondary 4 married
## 32520 46 Private assoc 10 married
## 32522 33 Private highsch 9 married
## 32525 26 Private assoc 12 notmarried
## 32526 81 unemployed assoc 11 divorce
## 32535 37 Private assoc 10 divorce
## 32550 43 StateGov assoc 10 divorce
## 32558 40 Private highsch 9 married
## occupation household_role race gender hours_per_week
## 4 lowskill husband black male 40
## 5 highskill wife black female 40
## 8 highskill husband white male 45
## 9 highskill tenant white female 50
## 11 highskill husband black male 80
## 12 highskill husband Asian_Pac_Islander male 40
## 17 agriculture depchild white male 35
## 19 highskill husband white male 50
## 21 highskill husband white male 60
## 27 midskill depchild white male 40
## 33 highskill depchild white male 40
## 37 midskill depchild white male 40
## 39 highskill husband white male 38
## 46 highskill husband black male 40
## 47 midskill husband white male 38
## 52 lowskill depchild white female 30
## 55 highskill tenant white male 60
## 56 highskill husband white male 40
## 62 other tenant white male 40
## 66 midskill husband white male 40
## 70 other depchild white male 40
## 71 highskill depchild white male 32
## 72 highskill depchild black female 40
## 78 other husband white male 2
## 89 highskill tenant white male 40
## 90 highskill tenant white female 50
## 93 midskill single_occ black female 25
## 96 lowskill tenant white male 50
## 98 highskill husband white male 48
## 99 highskill single_occ white female 40
## 104 highskill depchild white female 40
## 112 highskill husband white male 40
## 114 highskill wife white female 25
## 116 lowskill husband white male 50
## 117 highskill husband white male 50
## 128 clerical husband white male 40
## 132 lowskill tenant white female 40
## 136 highskill husband white male 40
## 142 highskill depchild white female 40
## 143 lowskill depchild white male 30
## 151 clerical single_occ white female 38
## 154 midskill depchild white male 35
## 155 other tenant white male 45
## 166 lowskill single_occ white female 40
## 168 highskill single_occ white male 40
## 178 lowskill tenant black male 40
## 190 highskill husband white male 1
## 197 midskill tenant white male 40
## 201 highskill tenant white female 40
## 205 clerical single_occ white female 35
## 212 midskill husband white male 40
## 213 highskill tenant native female 40
## 223 lowskill tenant black male 40
## 226 highskill depchild white female 40
## 240 midskill depchild white male 40
## 243 highskill husband white male 50
## 245 midskill tenant white male 40
## 246 clerical husband white male 35
## 247 clerical husband white male 45
## 255 midskill tenant white male 20
## 257 lowskill depchild white female 40
## 266 highskill husband Asian_Pac_Islander male 75
## 268 highskill husband white male 40
## 276 lowskill husband black male 40
## 281 highskill tenant white female 15
## 283 highskill single_occ black female 45
## 288 lowskill tenant white male 45
## 295 highskill single_occ black female 40
## 297 highskill tenant white female 60
## 299 midskill depchild white male 40
## 306 clerical tenant white female 40
## 309 clerical husband white male 40
## 311 highskill tenant white male 40
## 314 highskill tenant black female 40
## 323 midskill tenant white male 45
## 326 agriculture husband white male 45
## 333 lowskill tenant white male 40
## 335 midskill husband white male 40
## 342 midskill husband white male 40
## 343 highskill husband white male 40
## 354 midskill husband white male 30
## 355 other husband white male 40
## 356 clerical husband white male 40
## 357 lowskill single_occ other male 40
## 360 midskill husband white male 40
## 371 clerical single_occ white female 15
## 373 midskill husband white male 38
## 375 midskill tenant black male 40
## 381 midskill tenant white male 40
## 384 highskill tenant white female 40
## 388 clerical wife white female 6
## 392 midskill tenant white male 50
## 395 lowskill tenant white female 35
## 404 highskill tenant white female 64
## 408 midskill husband white male 25
## 409 other wife white female 40
## 410 highskill husband white male 50
## 418 lowskill depchild white female 19
## 422 lowskill depchild white male 18
## 423 highskill wife white female 40
## 432 other depchild white male 40
## 444 highskill husband white male 40
## 453 midskill husband white male 40
## 455 highskill wife white female 40
## 456 midskill husband Asian_Pac_Islander male 40
## 462 midskill husband black male 40
## 468 midskill husband white male 40
## 470 highskill wife white female 16
## 477 lowskill tenant white male 6
## 478 lowskill depchild white male 30
## 480 lowskill single_occ white female 35
## 496 clerical single_occ white female 36
## 498 lowskill depchild white male 40
## 502 midskill husband white male 40
## 504 lowskill single_occ white female 42
## 508 highskill husband white male 40
## 511 lowskill single_occ white male 42
## 512 other single_occ black female 30
## 524 highskill husband white male 45
## 526 highskill wife white female 40
## 527 highskill husband white male 40
## 530 highskill husband white male 40
## 533 lowskill husband black male 40
## 534 highskill wife white female 50
## 535 highskill husband white male 48
## 536 highskill husband white male 50
## 538 midskill tenant white male 40
## 542 highskill depchild white male 40
## 544 midskill tenant white male 40
## 547 lowskill wife white female 8
## 552 lowskill single_occ white female 40
## 553 clerical single_occ white female 40
## 560 lowskill husband white male 40
## 565 highskill husband white male 60
## 576 highskill wife white male 40
## 579 highskill tenant white female 40
## 580 midskill husband white male 45
## 583 midskill husband white male 40
## 584 midskill husband white male 40
## 587 clerical tenant white male 60
## 590 highskill tenant white male 80
## 594 highskill husband white male 40
## 598 highskill husband white male 50
## 603 lowskill tenant white female 40
## 632 lowskill single_occ black female 40
## 637 lowskill tenant white male 40
## 638 highskill husband white male 60
## 641 midskill tenant white male 55
## 643 lowskill depchild white male 40
## 652 highskill relative white male 50
## 653 highskill husband Asian_Pac_Islander male 40
## 654 highskill tenant white female 45
## 660 midskill husband white male 40
## 670 midskill tenant white male 40
## 672 other depchild white female 20
## 681 highskill depchild white male 48
## 683 midskill husband white male 40
## 688 highskill wife white female 55
## 701 highskill tenant white male 50
## 711 highskill husband white male 40
## 723 highskill tenant white male 40
## 724 highskill husband white male 42
## 727 highskill wife white female 40
## 728 lowskill tenant white female 20
## 730 highskill husband white male 59
## 736 midskill husband white male 40
## 747 midskill husband white male 40
## 748 clerical depchild black female 40
## 755 lowskill tenant white male 40
## 764 highskill husband white male 70
## 774 highskill wife white female 24
## 781 midskill husband white male 40
## 785 highskill tenant other female 55
## 787 agriculture husband white male 50
## 788 midskill depchild white male 30
## 789 other husband white male 16
## 800 highskill husband white male 40
## 802 lowskill depchild black male 30
## 813 highskill tenant white male 45
## 818 midskill husband white male 50
## 826 midskill single_occ white male 42
## 830 highskill depchild white male 40
## 832 clerical wife white female 40
## 834 highskill husband white male 40
## 835 other tenant white female 24
## 839 highskill tenant white male 50
## 842 midskill husband white male 50
## 851 highskill tenant white female 40
## 852 clerical tenant white female 55
## 853 highskill husband white male 50
## 855 highskill depchild white male 50
## 857 clerical depchild white female 40
## 860 highskill tenant white female 56
## 862 agriculture husband white male 40
## 870 highskill depchild white male 40
## 871 highskill husband white male 40
## 873 highskill husband white male 40
## 881 midskill tenant white female 40
## 889 highskill husband black male 40
## 894 highskill husband white male 50
## 895 agriculture husband white male 65
## 897 highskill depchild white male 55
## 899 highskill husband white male 45
## 907 midskill tenant white male 52
## 908 highskill depchild black male 15
## 909 lowskill depchild white male 10
## 910 highskill husband white male 40
## 919 highskill husband white male 30
## 922 midskill single_occ white male 40
## 929 highskill tenant white female 42
## 939 midskill husband white male 30
## 940 highskill tenant white male 40
## 942 midskill husband black male 40
## 944 lowskill tenant white female 45
## 952 highskill husband white male 43
## 963 midskill husband white male 70
## 964 highskill single_occ white female 40
## 972 highskill tenant white female 35
## 975 midskill single_occ white male 70
## 976 highskill tenant white female 40
## 978 highskill husband white male 35
## 1008 highskill husband white male 40
## 1010 highskill husband white male 50
## 1011 midskill tenant white female 40
## 1019 midskill tenant white male 40
## 1027 highskill tenant black male 45
## 1034 lowskill tenant black female 40
## 1038 lowskill tenant white male 75
## 1044 highskill husband white male 60
## 1049 highskill tenant white female 50
## 1053 clerical husband white male 40
## 1056 highskill husband white male 40
## 1065 highskill husband white male 80
## 1072 midskill husband white male 40
## 1085 clerical husband white male 40
## 1087 highskill husband white male 40
## 1090 midskill depchild white male 28
## 1099 highskill wife white female 25
## 1102 midskill husband white male 60
## 1107 highskill tenant white male 47
## 1110 midskill husband white male 55
## 1114 highskill wife white female 40
## 1117 midskill husband white male 40
## 1118 midskill husband white male 50
## 1120 highskill husband Asian_Pac_Islander male 40
## 1121 highskill husband white male 40
## 1122 highskill tenant white female 40
## 1124 highskill husband white male 40
## 1129 lowskill single_occ white male 45
## 1148 midskill husband white male 50
## 1149 highskill husband white male 35
## 1151 lowskill depchild white male 30
## 1158 highskill wife white female 50
## 1171 clerical tenant white female 43
## 1173 agriculture tenant white male 99
## 1180 lowskill tenant Asian_Pac_Islander male 45
## 1189 clerical tenant white female 65
## 1204 lowskill tenant white male 40
## 1211 highskill husband white male 60
## 1214 highskill husband white male 45
## 1236 highskill tenant white female 30
## 1244 highskill husband white male 59
## 1246 lowskill tenant white female 20
## 1250 lowskill depchild white female 40
## 1251 highskill husband white male 50
## 1254 clerical tenant white female 43
## 1264 lowskill tenant white female 37
## 1269 clerical husband white male 37
## 1271 highskill single_occ black female 45
## 1276 clerical husband white male 40
## 1280 highskill husband white male 40
## 1281 highskill tenant white male 50
## 1282 highskill single_occ Asian_Pac_Islander female 40
## 1285 clerical wife white female 40
## 1288 lowskill husband white male 40
## 1292 lowskill single_occ white female 30
## 1293 midskill husband white male 65
## 1295 lowskill husband white male 40
## 1302 lowskill single_occ black female 40
## 1306 midskill husband white male 43
## 1307 midskill tenant white male 40
## 1311 highskill husband white male 40
## 1316 midskill depchild white female 40
## 1320 midskill husband white male 45
## 1324 midskill husband white male 24
## 1335 highskill husband white male 40
## 1341 highskill single_occ white male 40
## 1344 clerical depchild white male 40
## 1350 other husband white male 50
## 1353 highskill depchild white female 40
## 1356 agriculture husband white male 60
## 1359 highskill tenant white male 50
## 1361 midskill tenant white male 41
## 1363 lowskill tenant white female 24
## 1366 highskill single_occ white female 40
## 1367 midskill wife black female 40
## 1369 highskill husband Asian_Pac_Islander male 40
## 1370 lowskill depchild white male 40
## 1376 highskill single_occ black female 40
## 1381 clerical depchild white male 40
## 1386 midskill depchild white male 45
## 1392 midskill husband black male 40
## 1396 midskill single_occ white male 40
## 1397 midskill husband black male 40
## 1401 clerical tenant white female 40
## 1408 midskill wife white female 50
## 1409 midskill tenant white male 50
## 1410 midskill husband white male 40
## 1415 highskill husband white male 60
## 1421 other depchild white male 50
## 1428 lowskill wife black female 34
## 1430 midskill husband white male 40
## 1433 highskill tenant white male 50
## 1435 highskill tenant black male 40
## 1443 highskill husband white male 50
## 1444 midskill tenant white male 40
## 1449 highskill husband white male 45
## 1457 midskill tenant white male 45
## 1459 other tenant black female 2
## 1467 midskill husband white male 45
## 1471 midskill husband white male 5
## 1472 highskill depchild Asian_Pac_Islander male 40
## 1491 highskill husband white male 48
## 1505 other husband white male 40
## 1506 midskill husband white male 42
## 1507 highskill husband white male 40
## 1509 clerical tenant black female 14
## 1514 highskill husband white male 50
## 1516 lowskill tenant Asian_Pac_Islander male 40
## 1518 clerical wife white female 30
## 1520 lowskill depchild black male 9
## 1522 lowskill tenant white female 40
## 1537 highskill husband white male 40
## 1541 clerical depchild white female 30
## 1544 midskill husband white male 40
## 1545 other tenant white male 40
## 1548 clerical husband white male 40
## 1549 midskill husband white male 50
## 1562 midskill husband white male 40
## 1563 other tenant white female 16
## 1565 lowskill relative black female 40
## 1574 lowskill depchild white male 40
## 1577 agriculture tenant white male 52
## 1579 highskill tenant white male 50
## 1584 clerical tenant white male 40
## 1587 highskill single_occ white male 45
## 1592 highskill husband white male 40
## 1597 clerical wife white female 60
## 1605 highskill husband white male 40
## 1608 midskill depchild white male 40
## 1615 clerical depchild white male 30
## 1616 highskill husband white male 40
## 1620 midskill husband white male 40
## 1623 lowskill depchild Asian_Pac_Islander female 40
## 1624 highskill husband white male 40
## 1631 lowskill husband white male 70
## 1632 lowskill tenant white female 24
## 1636 highskill husband white male 50
## 1640 midskill husband white male 50
## 1641 lowskill relative black female 38
## 1647 midskill husband black male 40
## 1648 highskill husband white male 40
## 1652 midskill husband white male 30
## 1656 highskill husband white male 50
## 1663 highskill tenant white male 40
## 1665 lowskill husband black male 40
## 1673 midskill husband white male 40
## 1678 midskill tenant white male 40
## 1681 lowskill single_occ white female 12
## 1687 lowskill tenant black female 45
## 1688 highskill husband white male 50
## 1689 lowskill tenant white female 36
## 1692 clerical depchild white female 20
## 1721 clerical tenant white female 40
## 1724 highskill husband white male 42
## 1726 midskill tenant white male 40
## 1729 highskill wife white female 50
## 1734 lowskill tenant white male 38
## 1755 highskill husband black male 45
## 1767 lowskill relative black male 40
## 1768 midskill husband white male 40
## 1780 highskill husband white male 40
## 1784 highskill husband white male 50
## 1792 midskill tenant white male 40
## 1796 highskill husband white male 40
## 1800 highskill tenant white female 40
## 1801 clerical husband white male 40
## 1805 highskill tenant white male 40
## 1816 lowskill depchild black male 40
## 1817 midskill husband white male 40
## 1825 midskill husband white male 84
## 1830 midskill single_occ white female 55
## 1831 lowskill depchild white male 10
## 1837 highskill husband white male 40
## 1841 midskill tenant white male 44
## 1847 other depchild white female 40
## 1848 lowskill depchild white female 40
## 1851 lowskill husband white male 40
## 1852 other husband white male 30
## 1855 midskill single_occ black male 45
## 1862 midskill husband white male 40
## 1865 highskill husband Asian_Pac_Islander male 54
## 1868 clerical tenant white female 48
## 1885 highskill single_occ white male 40
## 1889 lowskill depchild white male 40
## 1897 highskill husband white male 55
## 1898 midskill tenant white male 40
## 1899 midskill husband white male 45
## 1900 highskill depchild white male 50
## 1904 clerical tenant white female 40
## 1908 highskill tenant white female 50
## 1909 midskill husband white male 35
## 1918 highskill husband black male 46
## 1926 highskill tenant white male 55
## 1933 midskill relative Asian_Pac_Islander female 48
## 1934 highskill relative white female 48
## 1943 highskill single_occ black female 40
## 1950 highskill husband white male 40
## 1952 highskill husband white male 6
## 1959 highskill tenant white female 50
## 1964 highskill husband white male 50
## 1965 midskill single_occ white male 20
## 1980 lowskill depchild black male 40
## 1983 highskill tenant black female 40
## 1986 midskill tenant white male 48
## 1988 other wife white female 3
## 1990 highskill tenant black female 35
## 1993 highskill tenant white male 70
## 1997 highskill husband white male 60
## 2001 midskill single_occ white male 35
## 2007 clerical relative black female 40
## 2020 midskill depchild white male 40
## 2028 lowskill tenant white male 40
## 2042 lowskill single_occ black female 38
## 2050 highskill depchild white female 40
## 2053 lowskill relative black male 20
## 2055 highskill tenant white female 40
## 2057 highskill tenant white male 40
## 2059 lowskill depchild white male 30
## 2077 lowskill single_occ white female 38
## 2085 other wife white female 17
## 2092 other tenant white male 40
## 2097 highskill tenant Asian_Pac_Islander male 16
## 2109 agriculture husband white male 40
## 2117 midskill tenant white male 55
## 2118 highskill tenant white female 30
## 2121 clerical wife white female 53
## 2128 midskill tenant white male 70
## 2138 clerical relative white female 40
## 2155 lowskill tenant white female 70
## 2161 highskill husband white male 40
## 2162 lowskill tenant white female 37
## 2184 agriculture husband white male 75
## 2194 lowskill relative white male 40
## 2196 midskill husband white male 40
## 2200 midskill husband white male 40
## 2201 agriculture husband white male 60
## 2209 highskill husband Asian_Pac_Islander male 60
## 2216 highskill husband white male 48
## 2219 midskill single_occ black female 40
## 2223 other depchild white female 8
## 2225 midskill single_occ white male 40
## 2227 clerical single_occ white female 40
## 2240 clerical husband white male 52
## 2246 midskill husband white male 40
## 2264 midskill tenant white male 60
## 2270 highskill husband white male 40
## 2272 midskill tenant white male 40
## 2287 highskill husband Asian_Pac_Islander male 55
## 2288 highskill husband white male 35
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## 9008 midskill husband white male 40
## 9015 midskill husband white male 40
## 9023 highskill husband white male 50
## 9046 highskill depchild black female 40
## 9047 lowskill husband white male 35
## 9049 midskill depchild white male 50
## 9058 highskill husband white male 40
## 9062 clerical depchild white female 40
## 9063 highskill husband white male 60
## 9071 highskill husband white male 45
## 9077 clerical depchild white female 60
## 9079 clerical tenant white male 40
## 9084 highskill husband white male 24
## 9087 midskill tenant white male 40
## 9093 clerical single_occ white male 40
## 9112 highskill depchild white male 10
## 9115 highskill relative white male 40
## 9124 highskill husband black male 40
## 9125 agriculture husband white male 94
## 9128 lowskill single_occ white male 50
## 9130 midskill husband white male 40
## 9131 highskill husband white male 50
## 9133 clerical tenant white male 40
## 9145 highskill husband white male 40
## 9153 highskill husband white male 40
## 9155 midskill tenant white male 40
## 9158 highskill tenant white female 30
## 9161 midskill husband white male 70
## 9164 highskill tenant white female 40
## 9172 highskill depchild white female 10
## 9175 highskill depchild white female 15
## 9177 clerical depchild white female 38
## 9181 midskill husband white male 44
## 9182 highskill tenant white female 40
## 9187 midskill husband white male 50
## 9191 lowskill husband white male 40
## 9201 midskill husband white male 40
## 9209 lowskill depchild white male 40
## 9227 highskill single_occ native female 40
## 9232 midskill husband white male 40
## 9235 highskill tenant white female 50
## 9237 midskill tenant white male 40
## 9241 clerical depchild white female 40
## 9252 midskill single_occ white male 25
## 9253 lowskill husband other male 40
## 9255 clerical husband white male 40
## 9261 highskill husband white male 50
## 9269 highskill husband white male 40
## 9271 highskill husband white male 40
## 9276 lowskill tenant white male 10
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## 9300 highskill husband white male 40
## 9302 lowskill depchild white male 24
## 9304 agriculture husband white male 8
## 9305 clerical relative white male 20
## 9310 highskill husband white male 60
## 9314 lowskill tenant white male 30
## 9322 highskill husband white male 50
## 9326 highskill tenant white male 25
## 9355 highskill tenant white male 40
## 9356 midskill depchild black male 40
## 9357 lowskill depchild white female 20
## 9358 highskill husband white male 48
## 9362 midskill husband white male 40
## 9364 lowskill husband white male 40
## 9365 midskill husband white male 40
## 9368 other depchild white male 40
## 9373 highskill husband white male 40
## 9375 highskill wife white female 35
## 9380 lowskill husband white male 40
## 9382 lowskill depchild white male 40
## 9386 lowskill depchild white male 25
## 9391 midskill husband white male 40
## 9393 highskill husband white male 50
## 9398 highskill husband white male 50
## 9399 agriculture depchild white male 80
## 9402 highskill depchild white female 40
## 9408 midskill tenant white male 46
## 9409 midskill husband white male 50
## 9416 highskill depchild white male 20
## 9421 highskill tenant white male 40
## 9423 clerical wife white female 30
## 9425 clerical tenant black female 40
## 9430 highskill husband white male 40
## 9432 lowskill depchild white male 60
## 9434 highskill tenant white female 40
## 9439 highskill tenant white female 40
## 9441 highskill husband white male 45
## 9444 highskill husband white male 40
## 9447 midskill relative white male 40
## 9448 midskill wife white female 45
## 9450 midskill husband white male 40
## 9454 highskill husband white male 40
## 9455 highskill husband black male 10
## 9457 highskill depchild black male 40
## 9458 lowskill tenant Asian_Pac_Islander female 40
## 9462 clerical depchild white male 30
## 9466 highskill husband white male 49
## 9471 midskill relative Asian_Pac_Islander male 40
## 9472 highskill tenant white female 33
## 9475 midskill depchild white male 40
## 9476 highskill single_occ white female 40
## 9483 lowskill husband white male 40
## 9486 midskill husband black male 40
## 9487 highskill husband white male 20
## 9488 midskill husband white male 40
## 9498 lowskill tenant white female 35
## 9501 other wife white female 40
## 9502 highskill husband white male 40
## 9516 highskill single_occ white female 60
## 9523 lowskill single_occ white female 25
## 9526 lowskill single_occ Asian_Pac_Islander female 48
## 9534 highskill husband Asian_Pac_Islander male 50
## 9543 lowskill single_occ white female 40
## 9544 midskill relative other male 40
## 9546 lowskill single_occ white female 35
## 9547 midskill husband white male 60
## 9552 lowskill single_occ white female 40
## 9553 highskill tenant white male 40
## 9556 clerical depchild white male 30
## 9557 highskill single_occ white female 48
## 9560 lowskill tenant white male 60
## 9565 highskill husband white male 40
## 9568 highskill husband white male 40
## 9581 highskill tenant Asian_Pac_Islander male 28
## 9594 midskill depchild black female 40
## 9596 lowskill relative black female 40
## 9604 midskill tenant white male 45
## 9608 clerical depchild black female 40
## 9613 lowskill tenant white male 29
## 9616 midskill husband white male 40
## 9624 clerical tenant black female 40
## 9628 agriculture wife white female 40
## 9630 highskill husband white male 35
## 9639 midskill husband white male 40
## 9643 midskill husband white male 40
## 9644 highskill husband white male 20
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## 9654 clerical tenant white male 30
## 9660 clerical single_occ black male 35
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## 9668 highskill depchild white female 36
## 9669 midskill husband white male 40
## 9681 highskill tenant white male 40
## 9689 highskill tenant white male 50
## 9693 highskill wife white female 30
## 9694 highskill tenant white female 40
## 9707 highskill tenant white female 40
## 9714 highskill husband white male 44
## 9725 clerical tenant white male 53
## 9737 highskill husband white male 45
## 9739 clerical depchild white female 40
## 9742 lowskill husband black male 80
## 9743 midskill husband white male 40
## 9745 midskill relative white male 40
## 9753 highskill tenant white female 50
## 9756 midskill husband white male 44
## 9758 lowskill tenant white male 20
## 9764 midskill single_occ white female 50
## 9780 lowskill single_occ black female 21
## 9786 midskill husband white male 40
## 9787 clerical husband white male 40
## 9792 midskill husband white male 60
## 9809 clerical husband black male 40
## 9819 clerical husband white male 40
## 9820 highskill tenant white male 50
## 9824 highskill tenant white male 40
## 9827 clerical husband white male 60
## 9831 midskill tenant white male 56
## 9835 midskill tenant white female 40
## 9837 highskill tenant Asian_Pac_Islander male 40
## 9848 midskill husband native male 60
## 9849 lowskill relative Asian_Pac_Islander female 40
## 9855 midskill tenant white male 40
## 9879 highskill husband white male 48
## 9881 clerical husband black male 50
## 9884 agriculture single_occ black male 40
## 9888 midskill tenant white male 40
## 9906 midskill husband white male 40
## 9912 highskill single_occ Asian_Pac_Islander male 50
## 9913 clerical single_occ white female 40
## 9915 midskill husband white male 45
## 9917 midskill husband white male 50
## 9930 clerical tenant white female 55
## 9938 highskill husband white male 40
## 9941 highskill tenant white female 40
## 9945 highskill tenant white female 45
## 9948 lowskill relative white male 45
## 9951 clerical depchild black female 40
## 9953 highskill husband Asian_Pac_Islander male 17
## 9955 highskill husband white male 55
## 9960 midskill husband black male 40
## 9964 highskill tenant white female 20
## 9968 highskill tenant white female 40
## 9977 midskill tenant white male 40
## 9980 highskill tenant white male 40
## 9987 highskill husband white male 40
## 9993 midskill depchild black female 40
## 9996 highskill husband white male 60
## 9998 midskill depchild black male 40
## 10019 highskill depchild white female 19
## 10029 highskill husband white male 45
## 10032 midskill relative white male 40
## 10041 midskill depchild white male 40
## 10052 highskill tenant white male 77
## 10053 clerical single_occ white female 24
## 10063 highskill husband white male 50
## 10067 lowskill relative black female 30
## 10070 midskill husband white male 40
## 10077 clerical tenant black male 20
## 10079 highskill tenant white male 40
## 10086 lowskill depchild white female 40
## 10091 highskill tenant white male 70
## 10093 clerical tenant other male 20
## 10102 lowskill tenant white male 40
## 10105 midskill husband white male 40
## 10109 lowskill wife white female 40
## 10111 other depchild white male 40
## 10113 highskill relative white female 30
## 10117 clerical wife white female 40
## 10125 agriculture tenant white male 35
## 10132 lowskill depchild white male 16
## 10133 agriculture depchild white male 40
## 10139 lowskill tenant white male 40
## 10148 highskill husband white male 40
## 10150 highskill wife white female 40
## 10154 midskill husband white male 60
## 10157 lowskill depchild white male 40
## 10158 midskill tenant white male 40
## 10184 clerical depchild white female 15
## 10189 highskill husband Asian_Pac_Islander male 40
## 10190 midskill husband white male 40
## 10194 highskill husband white male 40
## 10201 midskill husband white male 35
## 10203 highskill husband white male 40
## 10214 lowskill tenant white female 30
## 10215 midskill tenant white male 25
## 10223 other depchild white female 30
## 10225 lowskill depchild white male 40
## 10227 highskill depchild white female 40
## 10229 highskill wife white female 19
## 10233 other relative white female 35
## 10236 highskill tenant white male 40
## 10240 highskill tenant white female 40
## 10256 highskill husband white male 40
## 10258 clerical tenant white female 40
## 10259 highskill tenant white male 60
## 10267 midskill husband white male 99
## 10268 midskill husband white male 50
## 10269 highskill husband white male 45
## 10276 clerical single_occ white female 20
## 10278 clerical depchild white male 40
## 10279 highskill relative white male 40
## 10281 highskill husband white male 50
## 10285 highskill husband white male 18
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## 10299 midskill husband white male 40
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## 10319 highskill husband black male 40
## 10327 highskill single_occ white female 40
## 10333 highskill husband white male 45
## 10335 midskill tenant white male 50
## 10336 clerical husband Asian_Pac_Islander male 40
## 10344 midskill tenant black male 60
## 10351 highskill husband white male 30
## 10365 highskill single_occ white female 40
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## 10376 highskill husband white male 50
## 10389 midskill husband white male 40
## 10397 highskill tenant white female 35
## 10401 clerical depchild white female 30
## 10404 midskill tenant white male 40
## 10419 midskill tenant white male 40
## 10421 lowskill husband black male 40
## 10427 highskill husband white male 40
## 10429 midskill husband white male 35
## 10430 highskill husband white male 50
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## 10441 other depchild white male 40
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## 10453 clerical depchild white female 40
## 10456 highskill husband white male 60
## 10459 midskill tenant white male 8
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## 10467 highskill tenant white female 40
## 10475 midskill husband white male 40
## 10486 other depchild black male 48
## 10487 other tenant white female 35
## 10490 highskill husband white male 40
## 10496 midskill husband white male 40
## 10516 clerical husband white male 36
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## 10530 highskill husband white male 40
## 10538 midskill single_occ white male 40
## 10541 highskill husband white male 42
## 10546 midskill husband white male 50
## 10551 highskill husband white male 45
## 10556 lowskill depchild black male 30
## 10565 midskill husband white male 40
## 10569 highskill tenant white female 40
## 10578 lowskill tenant black female 30
## 10581 highskill tenant white male 60
## 10591 highskill tenant Asian_Pac_Islander male 40
## 10596 clerical depchild white male 40
## 10603 highskill husband white male 50
## 10613 clerical tenant white male 40
## 10624 clerical single_occ black female 38
## 10629 highskill husband white male 45
## 10635 highskill husband Asian_Pac_Islander male 50
## 10641 midskill husband white male 40
## 10652 midskill tenant white male 40
## 10655 lowskill tenant white male 14
## 10665 midskill single_occ white male 40
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## 10677 lowskill husband white male 40
## 10678 clerical depchild white female 40
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## 10719 other wife white female 16
## 10720 highskill husband white male 45
## 10729 agriculture tenant white female 82
## 10731 clerical tenant white female 40
## 10735 midskill husband white male 45
## 10737 highskill husband Asian_Pac_Islander male 20
## 10743 midskill husband white male 40
## 10750 midskill husband white male 40
## 10752 clerical single_occ black female 40
## 10756 lowskill depchild white female 37
## 10757 lowskill depchild black male 40
## 10768 highskill husband white male 40
## 10773 highskill wife Asian_Pac_Islander female 60
## 10776 clerical tenant white female 35
## 10780 highskill depchild white male 30
## 10786 highskill tenant white male 52
## 10791 clerical wife white female 35
## 10795 midskill wife white female 40
## 10815 highskill husband white male 40
## 10822 lowskill relative white female 25
## 10827 lowskill tenant white male 40
## 10828 midskill husband white male 45
## 10830 highskill husband white male 40
## 10833 clerical tenant white male 40
## 10834 midskill depchild white male 40
## 10836 lowskill wife Asian_Pac_Islander female 40
## 10838 other single_occ white female 40
## 10840 highskill depchild black female 15
## 10847 lowskill tenant white female 40
## 10849 midskill husband white male 40
## 10852 midskill depchild white male 40
## 10867 midskill husband white male 58
## 10869 highskill husband white male 40
## 10872 midskill husband white male 40
## 10876 highskill tenant white female 55
## 10878 midskill single_occ white male 40
## 10881 midskill depchild white male 40
## 10883 midskill husband white male 40
## 10915 lowskill tenant black male 80
## 10918 highskill husband white male 70
## 10919 highskill tenant white female 35
## 10921 midskill husband white male 48
## 10927 highskill tenant white male 50
## 10929 midskill tenant white male 40
## 10930 midskill husband black male 40
## 10932 other tenant white male 50
## 10940 highskill tenant white male 55
## 10942 midskill husband white male 40
## 10954 highskill single_occ white male 60
## 10965 highskill husband white male 70
## 10971 highskill depchild white female 30
## 10976 agriculture depchild black male 30
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## 10979 clerical wife white female 25
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## 10996 other tenant white male 40
## 11009 lowskill single_occ black female 40
## 11019 midskill husband white male 40
## 11023 clerical depchild white female 4
## 11025 midskill depchild white male 40
## 11030 highskill husband white male 45
## 11039 lowskill tenant white male 40
## 11041 highskill husband white male 55
## 11044 clerical single_occ white female 40
## 11048 highskill depchild white female 72
## 11050 midskill relative white male 40
## 11083 highskill husband white male 50
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## 11094 highskill husband white male 50
## 11096 midskill tenant white male 40
## 11097 highskill depchild white male 50
## 11102 agriculture husband white male 50
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## 11108 highskill husband white male 45
## 11110 lowskill depchild white male 20
## 11118 highskill single_occ white female 40
## 11123 agriculture husband white male 50
## 11124 highskill tenant white female 60
## 11127 midskill depchild white male 42
## 11134 highskill husband white male 60
## 11135 midskill wife Asian_Pac_Islander female 40
## 11136 highskill single_occ white female 80
## 11142 midskill single_occ black female 40
## 11143 midskill depchild white male 40
## 11148 clerical wife white female 40
## 11149 agriculture depchild white male 10
## 11154 highskill husband white male 55
## 11157 highskill tenant white male 30
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## 11171 clerical husband white male 40
## 11173 midskill tenant black female 40
## 11176 lowskill depchild white female 30
## 11180 lowskill depchild white male 40
## 11182 highskill husband white male 25
## 11189 midskill relative Asian_Pac_Islander female 40
## 11190 midskill husband white male 40
## 11196 highskill husband white male 32
## 11199 other wife white female 20
## 11209 midskill husband white male 45
## 11212 midskill tenant white male 50
## 11219 clerical husband white male 40
## 11220 highskill husband white male 40
## 11226 highskill tenant white male 70
## 11235 other depchild white female 40
## 11241 agriculture husband white male 50
## 11247 highskill husband white male 40
## 11256 midskill husband white male 40
## 11258 highskill single_occ white male 48
## 11260 highskill single_occ white female 40
## 11269 clerical single_occ white female 40
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## 11289 clerical depchild black male 30
## 11302 midskill husband white male 50
## 11303 midskill husband white male 40
## 11305 clerical depchild black male 20
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## 11315 highskill husband white male 50
## 11318 lowskill tenant white male 20
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## 11341 other husband white male 40
## 11345 highskill tenant white female 24
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## 11360 highskill husband white male 50
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## 11388 highskill husband white male 65
## 11391 lowskill single_occ white female 30
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## 11397 highskill tenant white female 37
## 11398 midskill tenant white male 55
## 11399 midskill husband white male 50
## 11400 lowskill husband white male 40
## 11401 midskill tenant white male 45
## 11412 midskill tenant white female 30
## 11418 midskill tenant white male 40
## 11419 highskill single_occ white female 40
## 11420 highskill husband white male 45
## 11433 highskill tenant white male 55
## 11435 midskill husband white male 40
## 11443 clerical tenant white female 40
## 11448 lowskill tenant white male 40
## 11454 midskill husband white male 80
## 11456 clerical depchild white female 16
## 11478 highskill single_occ white female 35
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## 11483 lowskill husband white male 40
## 11494 midskill husband white male 40
## 11495 highskill tenant white male 60
## 11502 clerical husband white male 40
## 11507 highskill husband white male 35
## 11518 highskill tenant white female 20
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## 11532 clerical tenant white female 40
## 11534 lowskill husband white male 20
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## 11551 other depchild white female 10
## 11552 lowskill depchild white male 40
## 11553 lowskill husband white male 40
## 11571 lowskill depchild white female 12
## 11573 clerical wife white female 65
## 11576 lowskill single_occ white female 22
## 11577 highskill wife white female 40
## 11583 midskill husband white male 40
## 11584 lowskill depchild white female 30
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## 11601 highskill husband white male 60
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## 11614 clerical relative white female 16
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## 11622 other tenant black male 15
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## 11639 clerical husband white male 40
## 11644 clerical tenant white male 40
## 11646 highskill depchild white male 35
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## 11653 highskill husband white male 60
## 11654 highskill depchild white male 40
## 11656 lowskill tenant white male 40
## 11665 lowskill husband white male 35
## 11667 highskill depchild white female 20
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## 11673 midskill tenant white female 40
## 11690 midskill husband white male 48
## 11697 midskill husband white male 35
## 11698 clerical single_occ black female 40
## 11703 midskill depchild white male 40
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## 11707 clerical husband white male 45
## 11708 midskill husband white male 45
## 11709 lowskill tenant white male 40
## 11714 other single_occ black female 37
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## 11731 highskill tenant white male 60
## 11743 clerical depchild white male 15
## 11745 highskill husband white male 40
## 11751 highskill husband white male 50
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## 11762 highskill husband white male 50
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## 11776 agriculture husband white male 45
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## 11803 highskill husband native male 60
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## 11821 midskill husband white male 40
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## 11828 highskill husband white male 40
## 11831 clerical tenant white male 40
## 11832 highskill tenant white female 40
## 11835 highskill husband white male 40
## 11841 clerical wife white female 40
## 11843 highskill husband white male 60
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## 11850 highskill tenant white female 50
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## 11854 highskill husband black male 40
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## 11857 agriculture husband white male 40
## 11860 highskill tenant white female 30
## 11863 lowskill depchild white male 40
## 11864 lowskill depchild white female 40
## 11877 midskill husband white male 40
## 11894 highskill tenant black female 40
## 11897 highskill husband white male 56
## 11904 midskill single_occ white male 30
## 11905 highskill husband white male 45
## 11907 highskill tenant white male 50
## 11908 midskill tenant white male 45
## 11913 midskill husband white male 40
## 11921 highskill husband white male 40
## 11927 clerical single_occ white female 40
## 11933 lowskill depchild white female 40
## 11937 highskill tenant white male 51
## 11939 other depchild white male 40
## 11948 clerical tenant white female 40
## 11957 midskill husband white male 22
## 11977 highskill husband white male 35
## 11978 midskill tenant white male 40
## 11982 highskill husband white male 50
## 11985 highskill husband white male 40
## 12000 highskill husband white male 60
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## 12020 clerical depchild white female 40
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## 12067 midskill husband white male 60
## 12070 highskill relative white male 20
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## 12089 midskill depchild white male 20
## 12094 other tenant Asian_Pac_Islander male 50
## 12108 highskill husband white male 50
## 12111 highskill husband white male 40
## 12114 highskill husband white male 37
## 12117 midskill husband white male 38
## 12127 midskill depchild white male 15
## 12130 midskill relative Asian_Pac_Islander male 40
## 12134 midskill husband white male 60
## 12135 midskill husband white male 40
## 12136 highskill depchild white female 40
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## 12153 highskill husband white male 43
## 12156 clerical single_occ white female 38
## 12164 highskill husband white male 40
## 12173 midskill tenant Asian_Pac_Islander male 40
## 12175 highskill wife black female 40
## 12179 midskill relative white male 30
## 12182 midskill husband white male 45
## 12191 clerical wife white female 40
## 12193 midskill tenant white male 65
## 12205 clerical husband white male 40
## 12208 highskill husband white male 40
## 12210 highskill husband white male 99
## 12222 clerical depchild Asian_Pac_Islander female 40
## 12233 highskill husband white male 60
## 12234 clerical tenant white female 40
## 12237 clerical tenant white female 47
## 12240 midskill husband white male 45
## 12241 midskill tenant black male 40
## 12244 lowskill tenant white female 40
## 12247 midskill husband white male 40
## 12254 other tenant black female 20
## 12260 midskill husband white male 40
## 12261 midskill depchild black male 50
## 12263 midskill husband Asian_Pac_Islander male 40
## 12264 midskill husband white male 40
## 12268 midskill husband white male 40
## 12276 midskill tenant native male 40
## 12278 highskill depchild white male 40
## 12279 midskill husband black male 40
## 12285 midskill husband white male 40
## 12287 midskill husband white male 50
## 12290 midskill husband white male 32
## 12291 clerical depchild white female 40
## 12292 lowskill tenant black female 35
## 12294 highskill husband white male 70
## 12300 other husband white male 70
## 12303 midskill husband white male 40
## 12312 highskill husband white male 40
## 12315 highskill wife black female 40
## 12332 midskill tenant white male 40
## 12334 highskill relative black female 40
## 12339 highskill single_occ white male 50
## 12340 clerical depchild white male 40
## 12349 highskill husband white male 38
## 12356 clerical wife white female 40
## 12362 agriculture depchild white male 20
## 12372 clerical tenant white male 40
## 12381 highskill depchild white female 25
## 12383 clerical tenant white female 40
## 12385 highskill tenant white female 60
## 12396 highskill tenant white male 30
## 12406 other depchild white female 40
## 12411 highskill depchild white female 40
## 12416 highskill tenant white male 40
## 12419 highskill tenant white female 60
## 12424 highskill single_occ white female 20
## 12426 highskill husband white male 45
## 12430 highskill husband white male 60
## 12432 midskill husband white male 40
## 12434 highskill husband white male 40
## 12436 midskill husband white male 40
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## 12921 highskill husband white male 40
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## 13232 highskill tenant white male 50
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## 13242 highskill husband white male 45
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## 14248 highskill tenant white male 50
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## 15531 highskill tenant white male 40
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## 15716 midskill husband white male 40
## 15719 highskill husband white male 40
## 15721 midskill tenant white male 40
## 15723 midskill husband white male 40
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## 15810 highskill husband white male 72
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## 19171 highskill tenant Asian_Pac_Islander female 40
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## 20145 highskill single_occ white female 40
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## 22375 highskill tenant white female 40
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## 22387 midskill husband white male 40
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## 22404 highskill husband white male 50
## 22413 midskill husband white male 50
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## 22488 highskill tenant Asian_Pac_Islander male 40
## 22500 highskill husband white male 60
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## 22530 highskill depchild white female 40
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## 22939 midskill depchild white female 30
## 22940 lowskill husband white male 40
## 22957 highskill husband Asian_Pac_Islander male 20
## 22961 midskill depchild black male 1
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## 22975 midskill single_occ black female 70
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## 23212 clerical husband white male 40
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## 23252 highskill single_occ white female 20
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## 23435 highskill tenant white male 40
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## 23445 highskill tenant white male 40
## 23450 clerical tenant Asian_Pac_Islander female 20
## 23460 agriculture husband white male 50
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## 23466 clerical single_occ Asian_Pac_Islander female 40
## 23472 highskill tenant white male 50
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## 23638 highskill tenant white female 50
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## 23642 highskill husband white male 40
## 23645 highskill husband white male 40
## 23646 midskill depchild white male 25
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## 23650 highskill husband black male 99
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## 23726 highskill husband white male 50
## 23729 highskill tenant white male 40
## 23732 agriculture husband white male 54
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## 23759 highskill tenant white male 50
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## 23895 highskill single_occ white male 40
## 23903 highskill husband Asian_Pac_Islander male 40
## 23907 midskill single_occ black female 40
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## 23911 clerical tenant black female 47
## 23914 midskill husband white male 40
## 23915 lowskill single_occ white female 9
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## 23918 midskill husband Asian_Pac_Islander male 40
## 23942 lowskill depchild white male 12
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## 23958 lowskill tenant white female 40
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## 24047 midskill single_occ other female 40
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## 24065 highskill husband white male 48
## 24079 midskill husband native male 60
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## 24219 midskill husband white male 40
## 24222 midskill tenant white female 40
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## 24248 other husband white male 50
## 24256 midskill single_occ white female 40
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## 24262 highskill husband white male 40
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## 24276 midskill tenant white male 40
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## 24279 lowskill single_occ white female 32
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## 24413 highskill tenant white female 40
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## 24422 clerical husband white male 32
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## 24516 lowskill depchild white male 30
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## 24557 highskill husband white male 60
## 24558 clerical single_occ white female 48
## 24563 highskill depchild white female 35
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## 24584 midskill single_occ white female 40
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## 24597 agriculture husband white male 50
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## 24621 agriculture husband white male 45
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## 24641 midskill depchild white male 40
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## 24737 clerical depchild white male 20
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## 24787 midskill tenant white male 30
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## 24798 agriculture husband white male 35
## 24806 clerical tenant white female 40
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## 24820 lowskill depchild white female 16
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## 24978 midskill husband white male 40
## 24981 midskill husband Asian_Pac_Islander male 40
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## 24997 agriculture depchild white male 40
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## 25199 highskill tenant white female 40
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## 25422 midskill tenant Asian_Pac_Islander male 40
## 25427 highskill single_occ white male 40
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## 25431 other tenant white female 32
## 25439 highskill husband white male 44
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## 25526 highskill single_occ white female 40
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## 25534 lowskill husband white male 40
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## 25570 lowskill husband white male 15
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## 25593 highskill tenant white male 50
## 25596 highskill husband white male 60
## 25603 highskill tenant white male 70
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## 25659 lowskill tenant white female 40
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## 25744 highskill husband Asian_Pac_Islander male 40
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## 32333 midskill husband white male 72
## 32335 agriculture tenant white male 40
## 32338 highskill tenant Asian_Pac_Islander male 55
## 32341 highskill tenant white male 45
## 32343 midskill husband black male 40
## 32352 midskill tenant white male 40
## 32357 clerical depchild white male 15
## 32365 midskill husband white male 76
## 32374 highskill tenant white female 40
## 32387 highskill wife white female 40
## 32396 midskill tenant white male 50
## 32399 lowskill relative white male 30
## 32413 lowskill tenant black male 40
## 32421 highskill tenant white female 50
## 32426 midskill wife native female 35
## 32428 lowskill single_occ white female 32
## 32431 agriculture husband white male 56
## 32435 lowskill single_occ white female 35
## 32436 midskill husband white male 40
## 32438 midskill tenant white male 49
## 32440 highskill depchild white male 40
## 32443 lowskill tenant black male 40
## 32456 highskill husband white male 50
## 32461 clerical tenant white female 32
## 32472 lowskill tenant white male 50
## 32475 midskill husband white male 52
## 32478 other relative black male 40
## 32479 lowskill depchild white male 40
## 32485 highskill tenant white female 40
## 32491 other tenant black male 35
## 32502 lowskill husband white male 40
## 32508 highskill husband white male 40
## 32513 midskill depchild white male 40
## 32518 midskill husband white male 40
## 32520 highskill husband white male 48
## 32522 midskill husband black male 40
## 32525 midskill relative white female 15
## 32526 other single_occ white female 1
## 32535 clerical single_occ white female 39
## 32550 clerical relative white female 40
## 32558 midskill husband white male 40
## native_region income capital_gain_log capital_loss_log
## 4 NorthAmerica <=50K 0.000000 0.000000
## 5 CentrAmerica <=50K 0.000000 0.000000
## 8 NorthAmerica >50K 0.000000 0.000000
## 9 NorthAmerica >50K 9.552866 0.000000
## 11 NorthAmerica >50K 0.000000 0.000000
## 12 SAsia >50K 0.000000 0.000000
## 17 NorthAmerica <=50K 0.000000 0.000000
## 19 NorthAmerica <=50K 0.000000 0.000000
## 21 NorthAmerica >50K 0.000000 0.000000
## 27 NorthAmerica <=50K 0.000000 0.000000
## 33 NorthAmerica <=50K 0.000000 7.250636
## 37 NorthAmerica <=50K 0.000000 0.000000
## 39 CentrAmerica >50K 0.000000 0.000000
## 46 NorthAmerica >50K 0.000000 0.000000
## 47 NorthAmerica <=50K 0.000000 0.000000
## 52 CentrAmerica <=50K 0.000000 0.000000
## 55 NorthAmerica <=50K 0.000000 0.000000
## 56 NorthAmerica >50K 0.000000 0.000000
## 62 CentrAmerica <=50K 0.000000 0.000000
## 66 NorthAmerica <=50K 0.000000 0.000000
## 70 NorthAmerica <=50K 0.000000 0.000000
## 71 NorthAmerica <=50K 0.000000 0.000000
## 72 NorthAmerica <=50K 0.000000 0.000000
## 78 NorthAmerica <=50K 0.000000 0.000000
## 89 NorthAmerica <=50K 0.000000 0.000000
## 90 NorthAmerica >50K 0.000000 0.000000
## 93 NorthAmerica <=50K 0.000000 0.000000
## 96 NorthAmerica <=50K 0.000000 0.000000
## 98 NorthAmerica >50K 0.000000 0.000000
## 99 Europe <=50K 0.000000 0.000000
## 104 NorthAmerica <=50K 0.000000 0.000000
## 112 NorthAmerica >50K 0.000000 0.000000
## 114 NorthAmerica <=50K 8.310169 0.000000
## 116 NorthAmerica <=50K 0.000000 0.000000
## 117 NorthAmerica <=50K 0.000000 0.000000
## 128 NorthAmerica >50K 0.000000 0.000000
## 132 NorthAmerica <=50K 0.000000 7.474772
## 136 SAsia >50K 0.000000 0.000000
## 142 NorthAmerica <=50K 0.000000 0.000000
## 143 NorthAmerica <=50K 0.000000 0.000000
## 151 NorthAmerica <=50K 0.000000 0.000000
## 154 NorthAmerica <=50K 0.000000 0.000000
## 155 NorthAmerica >50K 0.000000 0.000000
## 166 NorthAmerica <=50K 0.000000 0.000000
## 168 NorthAmerica <=50K 0.000000 0.000000
## 178 NorthAmerica <=50K 0.000000 0.000000
## 190 NorthAmerica >50K 0.000000 0.000000
## 197 NorthAmerica <=50K 0.000000 0.000000
## 201 NorthAmerica <=50K 0.000000 7.537430
## 205 NorthAmerica <=50K 0.000000 0.000000
## 212 NorthAmerica >50K 0.000000 0.000000
## 213 NorthAmerica <=50K 0.000000 0.000000
## 223 NorthAmerica <=50K 0.000000 7.699389
## 226 NorthAmerica <=50K 0.000000 0.000000
## 240 NorthAmerica <=50K 0.000000 0.000000
## 243 NorthAmerica <=50K 0.000000 0.000000
## 245 NorthAmerica <=50K 0.000000 7.462789
## 246 CentrAmerica <=50K 0.000000 0.000000
## 247 NorthAmerica >50K 0.000000 0.000000
## 255 NorthAmerica <=50K 0.000000 0.000000
## 257 NorthAmerica <=50K 0.000000 0.000000
## 266 EAsia >50K 0.000000 0.000000
## 268 NorthAmerica >50K 0.000000 0.000000
## 276 NorthAmerica <=50K 0.000000 0.000000
## 281 Europe <=50K 0.000000 0.000000
## 283 NorthAmerica <=50K 0.000000 0.000000
## 288 NorthAmerica <=50K 0.000000 0.000000
## 295 NorthAmerica <=50K 0.000000 0.000000
## 297 NorthAmerica <=50K 0.000000 0.000000
## 299 NorthAmerica <=50K 0.000000 0.000000
## 306 NorthAmerica <=50K 0.000000 0.000000
## 309 NorthAmerica >50K 0.000000 0.000000
## 311 NorthAmerica <=50K 0.000000 0.000000
## 314 NorthAmerica >50K 0.000000 0.000000
## 323 NorthAmerica <=50K 0.000000 0.000000
## 326 NorthAmerica <=50K 0.000000 0.000000
## 333 NorthAmerica <=50K 0.000000 0.000000
## 335 NorthAmerica <=50K 0.000000 0.000000
## 342 NorthAmerica >50K 8.895493 0.000000
## 343 NorthAmerica >50K 8.895493 0.000000
## 354 NorthAmerica <=50K 0.000000 0.000000
## 355 NorthAmerica >50K 0.000000 0.000000
## 356 NorthAmerica >50K 0.000000 0.000000
## 357 NorthAmerica <=50K 0.000000 0.000000
## 360 Europe <=50K 0.000000 0.000000
## 371 NorthAmerica <=50K 0.000000 0.000000
## 373 NorthAmerica >50K 0.000000 0.000000
## 375 NorthAmerica <=50K 0.000000 0.000000
## 381 NorthAmerica <=50K 0.000000 0.000000
## 384 NorthAmerica <=50K 0.000000 0.000000
## 388 NorthAmerica >50K 0.000000 7.789869
## 392 NorthAmerica <=50K 0.000000 0.000000
## 395 NorthAmerica <=50K 0.000000 0.000000
## 404 NorthAmerica <=50K 0.000000 0.000000
## 408 NorthAmerica <=50K 0.000000 0.000000
## 409 NorthAmerica >50K 0.000000 7.543273
## 410 NorthAmerica <=50K 0.000000 0.000000
## 418 NorthAmerica <=50K 0.000000 0.000000
## 422 NorthAmerica <=50K 7.685703 0.000000
## 423 NorthAmerica >50K 0.000000 0.000000
## 432 NorthAmerica <=50K 0.000000 0.000000
## 444 NorthAmerica >50K 0.000000 0.000000
## 453 NorthAmerica >50K 0.000000 0.000000
## 455 NorthAmerica >50K 0.000000 0.000000
## 456 NorthAmerica >50K 0.000000 0.000000
## 462 NorthAmerica <=50K 0.000000 0.000000
## 468 NorthAmerica <=50K 0.000000 0.000000
## 470 NorthAmerica >50K 0.000000 0.000000
## 477 NorthAmerica <=50K 0.000000 0.000000
## 478 NorthAmerica <=50K 0.000000 0.000000
## 480 NorthAmerica <=50K 0.000000 0.000000
## 496 NorthAmerica <=50K 0.000000 0.000000
## 498 CentrAmerica <=50K 0.000000 0.000000
## 502 NorthAmerica <=50K 0.000000 0.000000
## 504 Europe <=50K 0.000000 0.000000
## 508 NorthAmerica <=50K 0.000000 0.000000
## 511 NorthAmerica <=50K 0.000000 7.230563
## 512 NorthAmerica <=50K 0.000000 0.000000
## 524 NorthAmerica >50K 0.000000 0.000000
## 526 NorthAmerica <=50K 0.000000 0.000000
## 527 NorthAmerica >50K 0.000000 0.000000
## 530 NorthAmerica <=50K 0.000000 0.000000
## 533 NorthAmerica <=50K 0.000000 0.000000
## 534 NorthAmerica >50K 0.000000 0.000000
## 535 NorthAmerica >50K 9.906084 0.000000
## 536 NorthAmerica <=50K 0.000000 0.000000
## 538 NorthAmerica <=50K 0.000000 0.000000
## 542 NorthAmerica <=50K 0.000000 0.000000
## 544 NorthAmerica <=50K 0.000000 0.000000
## 547 NorthAmerica <=50K 0.000000 0.000000
## 552 NorthAmerica <=50K 0.000000 0.000000
## 553 NorthAmerica <=50K 0.000000 0.000000
## 560 NorthAmerica <=50K 0.000000 0.000000
## 565 NorthAmerica >50K 0.000000 0.000000
## 576 NorthAmerica >50K 0.000000 0.000000
## 579 NorthAmerica <=50K 0.000000 0.000000
## 580 NorthAmerica <=50K 0.000000 0.000000
## 583 NorthAmerica <=50K 0.000000 0.000000
## 584 NorthAmerica <=50K 0.000000 0.000000
## 587 NorthAmerica <=50K 0.000000 0.000000
## 590 NorthAmerica <=50K 0.000000 0.000000
## 594 NorthAmerica >50K 8.947546 0.000000
## 598 NorthAmerica >50K 0.000000 7.551187
## 603 NorthAmerica <=50K 0.000000 0.000000
## 632 NorthAmerica <=50K 0.000000 0.000000
## 637 NorthAmerica <=50K 0.000000 0.000000
## 638 NorthAmerica >50K 9.617471 0.000000
## 641 NorthAmerica <=50K 0.000000 0.000000
## 643 NorthAmerica <=50K 0.000000 0.000000
## 652 NorthAmerica <=50K 8.319230 0.000000
## 653 EAsia >50K 0.000000 0.000000
## 654 NorthAmerica <=50K 0.000000 0.000000
## 660 NorthAmerica >50K 0.000000 0.000000
## 670 NorthAmerica <=50K 0.000000 7.451242
## 672 NorthAmerica <=50K 0.000000 0.000000
## 681 NorthAmerica <=50K 0.000000 0.000000
## 683 NorthAmerica >50K 0.000000 0.000000
## 688 NorthAmerica <=50K 0.000000 0.000000
## 701 NorthAmerica <=50K 0.000000 0.000000
## 711 NorthAmerica <=50K 0.000000 0.000000
## 723 NorthAmerica <=50K 8.444838 0.000000
## 724 NorthAmerica >50K 0.000000 0.000000
## 727 NorthAmerica <=50K 0.000000 0.000000
## 728 NorthAmerica <=50K 0.000000 0.000000
## 730 CentrAmerica >50K 9.147081 0.000000
## 736 NorthAmerica <=50K 7.786552 0.000000
## 747 NorthAmerica >50K 8.947546 0.000000
## 748 NorthAmerica <=50K 0.000000 0.000000
## 755 NorthAmerica <=50K 0.000000 0.000000
## 764 NorthAmerica >50K 0.000000 0.000000
## 774 NorthAmerica >50K 0.000000 0.000000
## 781 CentrAmerica <=50K 0.000000 0.000000
## 785 NorthAmerica >50K 0.000000 0.000000
## 787 NorthAmerica <=50K 0.000000 7.763446
## 788 NorthAmerica <=50K 0.000000 0.000000
## 789 NorthAmerica <=50K 0.000000 0.000000
## 800 Europe >50K 0.000000 7.551187
## 802 NorthAmerica <=50K 0.000000 7.451242
## 813 NorthAmerica <=50K 0.000000 0.000000
## 818 NorthAmerica >50K 0.000000 0.000000
## 826 NorthAmerica >50K 0.000000 6.483107
## 830 NorthAmerica <=50K 0.000000 0.000000
## 832 NorthAmerica >50K 8.386401 0.000000
## 834 NorthAmerica <=50K 0.000000 0.000000
## 835 NorthAmerica <=50K 0.000000 0.000000
## 839 NorthAmerica <=50K 0.000000 0.000000
## 842 NorthAmerica <=50K 0.000000 0.000000
## 851 NorthAmerica >50K 0.000000 0.000000
## 852 NorthAmerica <=50K 0.000000 0.000000
## 853 NorthAmerica <=50K 0.000000 0.000000
## 855 NorthAmerica >50K 0.000000 0.000000
## 857 NorthAmerica <=50K 0.000000 0.000000
## 860 NorthAmerica >50K 0.000000 0.000000
## 862 NorthAmerica <=50K 0.000000 0.000000
## 870 NorthAmerica <=50K 0.000000 0.000000
## 871 NorthAmerica >50K 0.000000 0.000000
## 873 NorthAmerica >50K 9.269175 0.000000
## 881 NorthAmerica <=50K 0.000000 0.000000
## 889 NorthAmerica <=50K 0.000000 0.000000
## 894 NorthAmerica >50K 8.947546 0.000000
## 895 NorthAmerica >50K 0.000000 0.000000
## 897 NorthAmerica <=50K 0.000000 0.000000
## 899 NorthAmerica >50K 0.000000 0.000000
## 907 NorthAmerica <=50K 0.000000 0.000000
## 908 NorthAmerica <=50K 0.000000 0.000000
## 909 NorthAmerica <=50K 0.000000 0.000000
## 910 NorthAmerica <=50K 0.000000 0.000000
## 919 NorthAmerica <=50K 0.000000 0.000000
## 922 NorthAmerica <=50K 0.000000 0.000000
## 929 NorthAmerica <=50K 0.000000 0.000000
## 939 NorthAmerica <=50K 0.000000 0.000000
## 940 NorthAmerica >50K 0.000000 0.000000
## 942 NorthAmerica <=50K 0.000000 0.000000
## 944 NorthAmerica <=50K 0.000000 0.000000
## 952 NorthAmerica >50K 0.000000 0.000000
## 963 NorthAmerica <=50K 0.000000 0.000000
## 964 NorthAmerica <=50K 0.000000 0.000000
## 972 NorthAmerica <=50K 0.000000 0.000000
## 975 NorthAmerica <=50K 0.000000 0.000000
## 976 NorthAmerica <=50K 0.000000 0.000000
## 978 NorthAmerica >50K 0.000000 0.000000
## 1008 NorthAmerica >50K 0.000000 0.000000
## 1010 Europe <=50K 0.000000 0.000000
## 1011 NorthAmerica <=50K 0.000000 0.000000
## 1019 NorthAmerica <=50K 0.000000 0.000000
## 1027 CentrAmerica <=50K 0.000000 0.000000
## 1034 NorthAmerica <=50K 0.000000 0.000000
## 1038 NorthAmerica <=50K 0.000000 0.000000
## 1044 NorthAmerica >50K 8.947546 0.000000
## 1049 NorthAmerica <=50K 0.000000 0.000000
## 1053 NorthAmerica >50K 8.895493 0.000000
## 1056 NorthAmerica <=50K 0.000000 0.000000
## 1065 NorthAmerica >50K 0.000000 0.000000
## 1072 NorthAmerica >50K 0.000000 7.551187
## 1085 NorthAmerica <=50K 0.000000 0.000000
## 1087 NorthAmerica <=50K 0.000000 0.000000
## 1090 NorthAmerica <=50K 0.000000 0.000000
## 1099 NorthAmerica >50K 0.000000 7.589842
## 1102 NorthAmerica >50K 0.000000 0.000000
## 1107 NorthAmerica <=50K 0.000000 0.000000
## 1110 NorthAmerica <=50K 0.000000 0.000000
## 1114 NorthAmerica <=50K 0.000000 0.000000
## 1117 NorthAmerica <=50K 0.000000 0.000000
## 1118 NorthAmerica <=50K 0.000000 0.000000
## 1120 EAsia <=50K 0.000000 0.000000
## 1121 NorthAmerica <=50K 0.000000 0.000000
## 1122 NorthAmerica <=50K 8.490028 0.000000
## 1124 NorthAmerica <=50K 0.000000 0.000000
## 1129 NorthAmerica <=50K 0.000000 0.000000
## 1148 NorthAmerica <=50K 0.000000 0.000000
## 1149 NorthAmerica >50K 0.000000 0.000000
## 1151 NorthAmerica <=50K 0.000000 0.000000
## 1158 NorthAmerica >50K 0.000000 0.000000
## 1171 NorthAmerica <=50K 0.000000 0.000000
## 1173 NorthAmerica >50K 0.000000 0.000000
## 1180 NorthAmerica <=50K 0.000000 0.000000
## 1189 NorthAmerica <=50K 0.000000 0.000000
## 1204 NorthAmerica >50K 0.000000 0.000000
## 1211 NorthAmerica >50K 8.552367 0.000000
## 1214 NorthAmerica >50K 9.617471 0.000000
## 1236 NorthAmerica <=50K 0.000000 0.000000
## 1244 NorthAmerica >50K 0.000000 0.000000
## 1246 NorthAmerica <=50K 0.000000 0.000000
## 1250 NorthAmerica <=50K 0.000000 0.000000
## 1251 NorthAmerica >50K 9.617471 0.000000
## 1254 NorthAmerica <=50K 0.000000 0.000000
## 1264 NorthAmerica <=50K 0.000000 0.000000
## 1269 NorthAmerica <=50K 0.000000 0.000000
## 1271 NorthAmerica <=50K 0.000000 0.000000
## 1276 NorthAmerica >50K 0.000000 0.000000
## 1280 NorthAmerica <=50K 0.000000 0.000000
## 1281 NorthAmerica <=50K 0.000000 7.537430
## 1282 EAsia >50K 0.000000 0.000000
## 1285 NorthAmerica >50K 8.552367 0.000000
## 1288 NorthAmerica <=50K 0.000000 0.000000
## 1292 CentrAmerica <=50K 0.000000 0.000000
## 1293 NorthAmerica <=50K 0.000000 0.000000
## 1295 NorthAmerica <=50K 0.000000 0.000000
## 1302 EAsia <=50K 0.000000 0.000000
## 1306 NorthAmerica >50K 0.000000 0.000000
## 1307 NorthAmerica <=50K 0.000000 0.000000
## 1311 NorthAmerica <=50K 0.000000 0.000000
## 1316 NorthAmerica <=50K 0.000000 0.000000
## 1320 NorthAmerica >50K 0.000000 0.000000
## 1324 NorthAmerica >50K 0.000000 0.000000
## 1335 NorthAmerica >50K 0.000000 0.000000
## 1341 NorthAmerica <=50K 0.000000 0.000000
## 1344 NorthAmerica <=50K 0.000000 0.000000
## 1350 NorthAmerica <=50K 8.135054 0.000000
## 1353 NorthAmerica <=50K 0.000000 0.000000
## 1356 NorthAmerica >50K 0.000000 7.522400
## 1359 NorthAmerica <=50K 0.000000 0.000000
## 1361 NorthAmerica <=50K 0.000000 0.000000
## 1363 NorthAmerica <=50K 0.000000 0.000000
## 1366 NorthAmerica <=50K 0.000000 0.000000
## 1367 NorthAmerica <=50K 0.000000 0.000000
## 1369 EAsia >50K 11.512925 0.000000
## 1370 NorthAmerica <=50K 0.000000 0.000000
## 1376 NorthAmerica <=50K 0.000000 0.000000
## 1381 NorthAmerica <=50K 0.000000 0.000000
## 1386 NorthAmerica <=50K 0.000000 0.000000
## 1392 CentrAmerica >50K 0.000000 7.543273
## 1396 NorthAmerica >50K 0.000000 0.000000
## 1397 NorthAmerica <=50K 8.519989 0.000000
## 1401 NorthAmerica <=50K 0.000000 0.000000
## 1408 NorthAmerica >50K 0.000000 0.000000
## 1409 NorthAmerica <=50K 0.000000 0.000000
## 1410 NorthAmerica <=50K 0.000000 0.000000
## 1415 NorthAmerica <=50K 0.000000 0.000000
## 1421 NorthAmerica <=50K 0.000000 0.000000
## 1428 NorthAmerica <=50K 8.135054 0.000000
## 1430 NorthAmerica >50K 0.000000 7.543273
## 1433 NorthAmerica >50K 0.000000 0.000000
## 1435 NorthAmerica <=50K 0.000000 0.000000
## 1443 NorthAmerica >50K 0.000000 0.000000
## 1444 NorthAmerica <=50K 0.000000 0.000000
## 1449 NorthAmerica >50K 0.000000 0.000000
## 1457 NorthAmerica <=50K 8.109526 0.000000
## 1459 NorthAmerica <=50K 0.000000 0.000000
## 1467 NorthAmerica <=50K 0.000000 7.626570
## 1471 NorthAmerica >50K 0.000000 0.000000
## 1472 NorthAmerica <=50K 0.000000 0.000000
## 1491 NorthAmerica <=50K 0.000000 0.000000
## 1505 NorthAmerica <=50K 0.000000 0.000000
## 1506 NorthAmerica <=50K 0.000000 0.000000
## 1507 NorthAmerica <=50K 0.000000 0.000000
## 1509 NorthAmerica <=50K 0.000000 0.000000
## 1514 NorthAmerica <=50K 0.000000 0.000000
## 1516 EAsia <=50K 0.000000 0.000000
## 1518 NorthAmerica <=50K 7.967627 0.000000
## 1520 NorthAmerica <=50K 0.000000 0.000000
## 1522 NorthAmerica <=50K 0.000000 0.000000
## 1537 NorthAmerica <=50K 0.000000 0.000000
## 1541 NorthAmerica <=50K 0.000000 0.000000
## 1544 NorthAmerica <=50K 0.000000 0.000000
## 1545 NorthAmerica <=50K 0.000000 0.000000
## 1548 NorthAmerica <=50K 0.000000 0.000000
## 1549 NorthAmerica >50K 0.000000 7.543273
## 1562 NorthAmerica <=50K 0.000000 0.000000
## 1563 NorthAmerica >50K 10.131619 0.000000
## 1565 NorthAmerica <=50K 0.000000 0.000000
## 1574 NorthAmerica <=50K 0.000000 0.000000
## 1577 NorthAmerica <=50K 0.000000 0.000000
## 1579 NorthAmerica <=50K 0.000000 0.000000
## 1584 NorthAmerica >50K 9.261129 0.000000
## 1587 Europe <=50K 0.000000 0.000000
## 1592 NorthAmerica <=50K 0.000000 0.000000
## 1597 NorthAmerica <=50K 0.000000 0.000000
## 1605 NorthAmerica <=50K 0.000000 0.000000
## 1608 NorthAmerica <=50K 0.000000 0.000000
## 1615 NorthAmerica <=50K 0.000000 0.000000
## 1616 NorthAmerica >50K 0.000000 0.000000
## 1620 NorthAmerica <=50K 0.000000 0.000000
## 1623 EAsia <=50K 0.000000 0.000000
## 1624 NorthAmerica <=50K 0.000000 0.000000
## 1631 NorthAmerica <=50K 7.786552 0.000000
## 1632 NorthAmerica <=50K 0.000000 0.000000
## 1636 NorthAmerica >50K 0.000000 0.000000
## 1640 NorthAmerica >50K 8.552367 0.000000
## 1641 NorthAmerica <=50K 0.000000 0.000000
## 1647 NorthAmerica <=50K 0.000000 0.000000
## 1648 NorthAmerica <=50K 0.000000 0.000000
## 1652 NorthAmerica <=50K 0.000000 0.000000
## 1656 Europe >50K 9.617471 0.000000
## 1663 NorthAmerica <=50K 0.000000 0.000000
## 1665 NorthAmerica <=50K 0.000000 0.000000
## 1673 NorthAmerica <=50K 7.993620 0.000000
## 1678 NorthAmerica <=50K 0.000000 0.000000
## 1681 NorthAmerica <=50K 0.000000 0.000000
## 1687 NorthAmerica <=50K 0.000000 0.000000
## 1688 NorthAmerica >50K 0.000000 7.543273
## 1689 NorthAmerica <=50K 0.000000 0.000000
## 1692 NorthAmerica <=50K 6.962243 0.000000
## 1721 NorthAmerica <=50K 0.000000 0.000000
## 1724 NorthAmerica >50K 0.000000 0.000000
## 1726 NorthAmerica <=50K 0.000000 0.000000
## 1729 NorthAmerica >50K 0.000000 0.000000
## 1734 NorthAmerica <=50K 0.000000 0.000000
## 1755 NorthAmerica >50K 0.000000 0.000000
## 1767 NorthAmerica <=50K 0.000000 0.000000
## 1768 NorthAmerica <=50K 0.000000 0.000000
## 1780 NorthAmerica >50K 8.947546 0.000000
## 1784 NorthAmerica >50K 0.000000 0.000000
## 1792 NorthAmerica <=50K 0.000000 0.000000
## 1796 NorthAmerica >50K 8.040447 0.000000
## 1800 NorthAmerica <=50K 0.000000 0.000000
## 1801 NorthAmerica <=50K 0.000000 0.000000
## 1805 NorthAmerica <=50K 7.684784 0.000000
## 1816 NorthAmerica <=50K 0.000000 0.000000
## 1817 NorthAmerica <=50K 0.000000 7.551187
## 1825 NorthAmerica >50K 0.000000 0.000000
## 1830 NorthAmerica <=50K 0.000000 0.000000
## 1831 NorthAmerica <=50K 0.000000 0.000000
## 1837 NorthAmerica <=50K 0.000000 0.000000
## 1841 NorthAmerica <=50K 0.000000 0.000000
## 1847 NorthAmerica <=50K 0.000000 0.000000
## 1848 USTerritory <=50K 0.000000 0.000000
## 1851 NorthAmerica <=50K 0.000000 0.000000
## 1852 NorthAmerica <=50K 0.000000 0.000000
## 1855 NorthAmerica <=50K 0.000000 0.000000
## 1862 NorthAmerica <=50K 0.000000 0.000000
## 1865 NorthAmerica >50K 0.000000 0.000000
## 1868 NorthAmerica <=50K 0.000000 0.000000
## 1885 NorthAmerica <=50K 0.000000 0.000000
## 1889 Europe <=50K 0.000000 0.000000
## 1897 NorthAmerica <=50K 0.000000 0.000000
## 1898 NorthAmerica <=50K 0.000000 0.000000
## 1899 NorthAmerica <=50K 0.000000 0.000000
## 1900 NorthAmerica <=50K 0.000000 0.000000
## 1904 NorthAmerica <=50K 0.000000 0.000000
## 1908 NorthAmerica <=50K 0.000000 0.000000
## 1909 NorthAmerica <=50K 0.000000 0.000000
## 1918 NorthAmerica <=50K 0.000000 0.000000
## 1926 NorthAmerica >50K 0.000000 0.000000
## 1933 EAsia <=50K 0.000000 0.000000
## 1934 NorthAmerica >50K 0.000000 0.000000
## 1943 NorthAmerica <=50K 0.000000 0.000000
## 1950 NorthAmerica >50K 0.000000 0.000000
## 1952 NorthAmerica <=50K 0.000000 0.000000
## 1959 NorthAmerica <=50K 0.000000 0.000000
## 1964 NorthAmerica >50K 0.000000 0.000000
## 1965 NorthAmerica <=50K 0.000000 0.000000
## 1980 NorthAmerica <=50K 0.000000 0.000000
## 1983 NorthAmerica <=50K 0.000000 0.000000
## 1986 NorthAmerica <=50K 0.000000 0.000000
## 1988 NorthAmerica <=50K 0.000000 0.000000
## 1990 NorthAmerica <=50K 0.000000 0.000000
## 1993 NorthAmerica >50K 0.000000 0.000000
## 1997 NorthAmerica >50K 0.000000 0.000000
## 2001 NorthAmerica <=50K 0.000000 0.000000
## 2007 CentrAmerica <=50K 0.000000 0.000000
## 2020 NorthAmerica <=50K 0.000000 0.000000
## 2028 NorthAmerica <=50K 0.000000 0.000000
## 2042 NorthAmerica <=50K 0.000000 0.000000
## 2050 NorthAmerica <=50K 0.000000 0.000000
## 2053 NorthAmerica <=50K 0.000000 0.000000
## 2055 NorthAmerica <=50K 0.000000 0.000000
## 2057 NorthAmerica >50K 9.061260 0.000000
## 2059 NorthAmerica <=50K 0.000000 0.000000
## 2077 NorthAmerica <=50K 0.000000 0.000000
## 2085 CentrAmerica <=50K 0.000000 0.000000
## 2092 NorthAmerica <=50K 0.000000 0.000000
## 2097 EAsia <=50K 0.000000 0.000000
## 2109 NorthAmerica <=50K 0.000000 0.000000
## 2117 NorthAmerica <=50K 0.000000 7.420579
## 2118 NorthAmerica <=50K 0.000000 0.000000
## 2121 NorthAmerica <=50K 0.000000 0.000000
## 2128 NorthAmerica <=50K 0.000000 0.000000
## 2138 USTerritory <=50K 0.000000 0.000000
## 2155 NorthAmerica <=50K 0.000000 0.000000
## 2161 NorthAmerica >50K 8.895493 0.000000
## 2162 NorthAmerica <=50K 0.000000 0.000000
## 2184 NorthAmerica <=50K 0.000000 0.000000
## 2194 NorthAmerica <=50K 0.000000 0.000000
## 2196 NorthAmerica <=50K 0.000000 0.000000
## 2200 NorthAmerica <=50K 0.000000 0.000000
## 2201 NorthAmerica <=50K 8.819961 0.000000
## 2209 SouthAmerica <=50K 0.000000 0.000000
## 2216 NorthAmerica >50K 0.000000 0.000000
## 2219 NorthAmerica <=50K 0.000000 0.000000
## 2223 NorthAmerica <=50K 0.000000 0.000000
## 2225 NorthAmerica <=50K 0.000000 0.000000
## 2227 NorthAmerica <=50K 0.000000 0.000000
## 2240 NorthAmerica <=50K 0.000000 0.000000
## 2246 NorthAmerica >50K 0.000000 0.000000
## 2264 NorthAmerica <=50K 0.000000 0.000000
## 2270 NorthAmerica <=50K 0.000000 0.000000
## 2272 NorthAmerica <=50K 0.000000 0.000000
## 2287 EAsia >50K 0.000000 0.000000
## 2288 NorthAmerica >50K 0.000000 0.000000
## 2289 CentrAmerica <=50K 0.000000 0.000000
## 2295 NorthAmerica <=50K 0.000000 0.000000
## 2297 NorthAmerica <=50K 0.000000 0.000000
## 2302 NorthAmerica <=50K 0.000000 0.000000
## 2307 NorthAmerica <=50K 0.000000 0.000000
## 2309 NorthAmerica >50K 8.947546 0.000000
## 2314 NorthAmerica <=50K 0.000000 0.000000
## 2318 NorthAmerica <=50K 0.000000 0.000000
## 2319 NorthAmerica >50K 0.000000 0.000000
## 2323 NorthAmerica <=50K 0.000000 0.000000
## 2333 NorthAmerica >50K 8.947546 0.000000
## 2334 NorthAmerica <=50K 0.000000 0.000000
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## 2352 NorthAmerica >50K 9.571157 0.000000
## 2363 NorthAmerica >50K 8.895493 0.000000
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## 2405 NorthAmerica <=50K 8.051341 0.000000
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## 3572 NorthAmerica <=50K 0.000000 0.000000
## 3573 NorthAmerica <=50K 6.962243 0.000000
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## 3913 NorthAmerica <=50K 8.519989 0.000000
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## 3952 NorthAmerica <=50K 0.000000 7.462789
## 3954 NorthAmerica <=50K 0.000000 0.000000
## 3956 USTerritory <=50K 0.000000 0.000000
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## 3969 NorthAmerica <=50K 0.000000 7.602401
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## 7366 NorthAmerica <=50K 0.000000 0.000000
## 7377 NorthAmerica >50K 0.000000 0.000000
## 7384 NorthAmerica >50K 0.000000 0.000000
## 7386 NorthAmerica >50K 10.233834 0.000000
## 7389 NorthAmerica <=50K 0.000000 0.000000
## 7393 NorthAmerica <=50K 0.000000 0.000000
## 7401 NorthAmerica <=50K 0.000000 0.000000
## 7410 NorthAmerica >50K 8.947546 0.000000
## 7412 NorthAmerica <=50K 0.000000 0.000000
## 7417 NorthAmerica >50K 9.617471 0.000000
## 7422 NorthAmerica <=50K 0.000000 0.000000
## 7425 NorthAmerica <=50K 0.000000 0.000000
## 7427 NorthAmerica <=50K 0.000000 0.000000
## 7435 NorthAmerica <=50K 0.000000 0.000000
## 7440 NorthAmerica <=50K 0.000000 0.000000
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## 7447 NorthAmerica <=50K 0.000000 0.000000
## 7455 NorthAmerica <=50K 0.000000 0.000000
## 7485 NorthAmerica <=50K 0.000000 0.000000
## 7487 NorthAmerica <=50K 0.000000 0.000000
## 7493 NorthAmerica >50K 0.000000 0.000000
## 7504 NorthAmerica >50K 0.000000 7.543273
## 7508 SouthAmerica <=50K 0.000000 0.000000
## 7512 NorthAmerica <=50K 0.000000 0.000000
## 7513 NorthAmerica <=50K 0.000000 0.000000
## 7515 NorthAmerica <=50K 0.000000 0.000000
## 7517 NorthAmerica <=50K 0.000000 0.000000
## 7529 NorthAmerica <=50K 0.000000 0.000000
## 7531 NorthAmerica <=50K 0.000000 0.000000
## 7537 NorthAmerica >50K 0.000000 0.000000
## 7539 NorthAmerica <=50K 0.000000 0.000000
## 7548 NorthAmerica <=50K 0.000000 0.000000
## 7549 NorthAmerica <=50K 0.000000 0.000000
## 7550 NorthAmerica <=50K 0.000000 0.000000
## 7553 NorthAmerica <=50K 0.000000 0.000000
## 7556 NorthAmerica >50K 0.000000 0.000000
## 7559 NorthAmerica >50K 0.000000 0.000000
## 7576 NorthAmerica <=50K 0.000000 0.000000
## 7579 NorthAmerica <=50K 0.000000 0.000000
## 7582 NorthAmerica <=50K 0.000000 0.000000
## 7606 NorthAmerica <=50K 0.000000 0.000000
## 7609 NorthAmerica <=50K 0.000000 0.000000
## 7617 NorthAmerica <=50K 7.877018 0.000000
## 7621 NorthAmerica <=50K 0.000000 0.000000
## 7625 NorthAmerica >50K 8.895493 0.000000
## 7632 NorthAmerica <=50K 0.000000 0.000000
## 7637 NorthAmerica <=50K 0.000000 0.000000
## 7639 NorthAmerica >50K 0.000000 7.522400
## 7646 NorthAmerica >50K 0.000000 0.000000
## 7650 NorthAmerica >50K 0.000000 0.000000
## 7652 NorthAmerica <=50K 0.000000 7.365180
## 7659 NorthAmerica <=50K 8.319230 0.000000
## 7673 NorthAmerica <=50K 0.000000 0.000000
## 7676 NorthAmerica <=50K 0.000000 0.000000
## 7678 NorthAmerica <=50K 0.000000 0.000000
## 7679 NorthAmerica >50K 0.000000 0.000000
## 7681 NorthAmerica <=50K 0.000000 0.000000
## 7685 NorthAmerica <=50K 8.150468 0.000000
## 7688 NorthAmerica <=50K 0.000000 7.537430
## 7692 NorthAmerica <=50K 0.000000 0.000000
## 7711 NorthAmerica <=50K 0.000000 0.000000
## 7712 NorthAmerica <=50K 0.000000 0.000000
## 7714 NorthAmerica <=50K 0.000000 0.000000
## 7717 NorthAmerica >50K 8.947546 0.000000
## 7723 NorthAmerica <=50K 0.000000 0.000000
## 7730 NorthAmerica <=50K 0.000000 0.000000
## 7732 NorthAmerica <=50K 0.000000 0.000000
## 7733 SouthAmerica >50K 0.000000 0.000000
## 7736 Europe <=50K 0.000000 0.000000
## 7742 NorthAmerica >50K 0.000000 0.000000
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## 7753 NorthAmerica <=50K 0.000000 0.000000
## 7755 NorthAmerica <=50K 0.000000 0.000000
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## 7762 NorthAmerica <=50K 0.000000 0.000000
## 7763 NorthAmerica <=50K 0.000000 0.000000
## 7773 NorthAmerica <=50K 0.000000 0.000000
## 7778 NorthAmerica >50K 0.000000 0.000000
## 7780 NorthAmerica <=50K 0.000000 0.000000
## 7788 NorthAmerica <=50K 0.000000 0.000000
## 7798 NorthAmerica <=50K 0.000000 0.000000
## 7807 NorthAmerica >50K 0.000000 0.000000
## 7812 NorthAmerica >50K 0.000000 0.000000
## 7814 NorthAmerica <=50K 0.000000 7.303843
## 7816 NorthAmerica <=50K 0.000000 0.000000
## 7817 NorthAmerica <=50K 0.000000 0.000000
## 7819 NorthAmerica >50K 0.000000 0.000000
## 7826 NorthAmerica <=50K 0.000000 0.000000
## 7839 NorthAmerica <=50K 0.000000 0.000000
## 7853 NorthAmerica <=50K 0.000000 0.000000
## 7860 Europe <=50K 0.000000 0.000000
## 7865 NorthAmerica <=50K 8.271037 0.000000
## 7869 NorthAmerica >50K 0.000000 0.000000
## 7870 NorthAmerica <=50K 0.000000 0.000000
## 7877 NorthAmerica <=50K 0.000000 0.000000
## 7878 NorthAmerica <=50K 0.000000 0.000000
## 7882 NorthAmerica <=50K 0.000000 0.000000
## 7885 NorthAmerica <=50K 0.000000 0.000000
## 7900 NorthAmerica <=50K 0.000000 0.000000
## 7901 NorthAmerica <=50K 8.150468 0.000000
## 7904 NorthAmerica <=50K 0.000000 0.000000
## 7907 NorthAmerica >50K 8.895493 0.000000
## 7910 EAsia <=50K 0.000000 0.000000
## 7921 NorthAmerica <=50K 0.000000 0.000000
## 7924 NorthAmerica <=50K 0.000000 0.000000
## 7933 SAsia <=50K 0.000000 0.000000
## 7943 NorthAmerica <=50K 0.000000 0.000000
## 7950 NorthAmerica <=50K 0.000000 0.000000
## 7961 CentrAmerica <=50K 0.000000 0.000000
## 7964 NorthAmerica <=50K 0.000000 0.000000
## 7969 NorthAmerica >50K 8.947546 0.000000
## 7974 NorthAmerica <=50K 0.000000 0.000000
## 7991 CentrAmerica <=50K 0.000000 0.000000
## 8002 NorthAmerica <=50K 0.000000 0.000000
## 8028 NorthAmerica <=50K 0.000000 0.000000
## 8048 NorthAmerica >50K 0.000000 0.000000
## 8049 NorthAmerica >50K 0.000000 0.000000
## 8054 NorthAmerica <=50K 0.000000 0.000000
## 8057 NorthAmerica <=50K 0.000000 0.000000
## 8058 NorthAmerica <=50K 8.150468 0.000000
## 8071 NorthAmerica <=50K 0.000000 0.000000
## 8072 NorthAmerica <=50K 0.000000 0.000000
## 8073 NorthAmerica <=50K 0.000000 0.000000
## 8076 EAsia <=50K 0.000000 0.000000
## 8083 NorthAmerica <=50K 0.000000 0.000000
## 8084 NorthAmerica <=50K 0.000000 7.303843
## 8087 NorthAmerica <=50K 0.000000 0.000000
## 8091 NorthAmerica <=50K 0.000000 0.000000
## 8100 CentrAmerica <=50K 0.000000 0.000000
## 8102 NorthAmerica <=50K 0.000000 0.000000
## 8103 NorthAmerica >50K 0.000000 7.551187
## 8126 NorthAmerica >50K 0.000000 0.000000
## 8128 NorthAmerica <=50K 0.000000 0.000000
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## 8138 NorthAmerica <=50K 0.000000 0.000000
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## 8144 NorthAmerica <=50K 0.000000 0.000000
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## 8153 EAsia >50K 0.000000 0.000000
## 8160 NorthAmerica <=50K 0.000000 0.000000
## 8161 CentrAmerica >50K 8.386401 0.000000
## 8163 NorthAmerica <=50K 0.000000 0.000000
## 8170 NorthAmerica <=50K 0.000000 0.000000
## 8176 NorthAmerica <=50K 0.000000 0.000000
## 8190 NorthAmerica <=50K 0.000000 0.000000
## 8201 NorthAmerica <=50K 0.000000 0.000000
## 8209 NorthAmerica >50K 0.000000 0.000000
## 8214 NorthAmerica >50K 9.617471 0.000000
## 8218 NorthAmerica <=50K 0.000000 0.000000
## 8219 NorthAmerica <=50K 0.000000 7.699389
## 8220 NorthAmerica <=50K 0.000000 0.000000
## 8222 NorthAmerica <=50K 0.000000 0.000000
## 8230 NorthAmerica <=50K 0.000000 0.000000
## 8231 NorthAmerica <=50K 0.000000 0.000000
## 8235 NorthAmerica >50K 0.000000 0.000000
## 8238 EAsia >50K 0.000000 0.000000
## 8245 NorthAmerica <=50K 0.000000 0.000000
## 8247 NorthAmerica <=50K 0.000000 0.000000
## 8248 NorthAmerica <=50K 0.000000 0.000000
## 8259 NorthAmerica >50K 0.000000 0.000000
## 8260 NorthAmerica <=50K 0.000000 0.000000
## 8262 NorthAmerica <=50K 0.000000 0.000000
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## 8268 NorthAmerica >50K 0.000000 0.000000
## 8273 NorthAmerica <=50K 0.000000 0.000000
## 8277 NorthAmerica <=50K 0.000000 0.000000
## 8281 NorthAmerica <=50K 0.000000 0.000000
## 8283 CentrAmerica <=50K 0.000000 7.663877
## 8294 NorthAmerica <=50K 0.000000 0.000000
## 8295 NorthAmerica <=50K 0.000000 0.000000
## 8300 NorthAmerica <=50K 0.000000 0.000000
## 8303 NorthAmerica <=50K 0.000000 0.000000
## 8311 NorthAmerica <=50K 0.000000 0.000000
## 8315 NorthAmerica <=50K 8.265650 0.000000
## 8320 NorthAmerica <=50K 0.000000 0.000000
## 8321 NorthAmerica <=50K 0.000000 0.000000
## 8332 NorthAmerica <=50K 0.000000 0.000000
## 8338 NorthAmerica <=50K 0.000000 0.000000
## 8351 CentrAmerica <=50K 0.000000 0.000000
## 8353 NorthAmerica <=50K 0.000000 0.000000
## 8359 NorthAmerica <=50K 0.000000 0.000000
## 8364 NorthAmerica >50K 9.617471 0.000000
## 8376 NorthAmerica <=50K 0.000000 0.000000
## 8378 NorthAmerica >50K 0.000000 0.000000
## 8382 NorthAmerica <=50K 0.000000 0.000000
## 8394 NorthAmerica >50K 0.000000 0.000000
## 8395 NorthAmerica >50K 0.000000 0.000000
## 8402 NorthAmerica >50K 0.000000 0.000000
## 8403 NorthAmerica >50K 0.000000 7.733246
## 8404 NorthAmerica <=50K 0.000000 0.000000
## 8441 NorthAmerica <=50K 0.000000 0.000000
## 8444 NorthAmerica <=50K 0.000000 0.000000
## 8445 NorthAmerica <=50K 0.000000 0.000000
## 8449 NorthAmerica >50K 0.000000 0.000000
## 8451 NorthAmerica <=50K 0.000000 5.780744
## 8457 NorthAmerica <=50K 0.000000 0.000000
## 8461 NorthAmerica <=50K 0.000000 0.000000
## 8477 NorthAmerica >50K 11.512925 0.000000
## 8480 NorthAmerica >50K 9.617471 0.000000
## 8485 NorthAmerica <=50K 0.000000 0.000000
## 8487 NorthAmerica <=50K 0.000000 0.000000
## 8491 NorthAmerica >50K 8.947546 0.000000
## 8492 NorthAmerica <=50K 0.000000 0.000000
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## 8511 NorthAmerica >50K 0.000000 0.000000
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## 8521 NorthAmerica <=50K 0.000000 0.000000
## 8523 NorthAmerica <=50K 0.000000 0.000000
## 8526 NorthAmerica >50K 0.000000 0.000000
## 8532 Europe <=50K 0.000000 0.000000
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## 8538 NorthAmerica <=50K 0.000000 0.000000
## 8541 CentrAmerica >50K 0.000000 0.000000
## 8548 NorthAmerica <=50K 0.000000 0.000000
## 8550 NorthAmerica <=50K 0.000000 0.000000
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## 8564 NorthAmerica <=50K 0.000000 0.000000
## 8567 NorthAmerica >50K 0.000000 0.000000
## 8568 NorthAmerica <=50K 0.000000 0.000000
## 8570 NorthAmerica <=50K 0.000000 7.372118
## 8575 NorthAmerica <=50K 0.000000 0.000000
## 8577 NorthAmerica <=50K 0.000000 0.000000
## 8578 NorthAmerica >50K 0.000000 0.000000
## 8582 NorthAmerica >50K 9.061260 0.000000
## 8586 NorthAmerica <=50K 8.652074 0.000000
## 8587 NorthAmerica <=50K 0.000000 0.000000
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## 8623 NorthAmerica <=50K 0.000000 0.000000
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## 8628 NorthAmerica <=50K 0.000000 0.000000
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## 8651 NorthAmerica <=50K 0.000000 0.000000
## 8662 NorthAmerica <=50K 0.000000 0.000000
## 8665 NorthAmerica <=50K 0.000000 0.000000
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## 8677 NorthAmerica <=50K 0.000000 0.000000
## 8683 NorthAmerica >50K 0.000000 0.000000
## 8684 NorthAmerica <=50K 0.000000 0.000000
## 8689 EAsia >50K 0.000000 0.000000
## 8692 NorthAmerica >50K 0.000000 0.000000
## 8701 NorthAmerica <=50K 0.000000 0.000000
## 8703 NorthAmerica <=50K 0.000000 0.000000
## 8711 NorthAmerica >50K 11.512925 0.000000
## 8721 NorthAmerica <=50K 0.000000 0.000000
## 8724 NorthAmerica <=50K 0.000000 0.000000
## 8731 NorthAmerica <=50K 0.000000 0.000000
## 8732 NorthAmerica <=50K 0.000000 0.000000
## 8736 NorthAmerica <=50K 7.948032 0.000000
## 8737 NorthAmerica <=50K 0.000000 0.000000
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## 8754 NorthAmerica <=50K 0.000000 0.000000
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## 8770 NorthAmerica <=50K 0.000000 0.000000
## 8773 NorthAmerica <=50K 8.604471 0.000000
## 8781 NorthAmerica <=50K 0.000000 0.000000
## 8782 NorthAmerica >50K 9.617471 0.000000
## 8783 NorthAmerica <=50K 0.000000 0.000000
## 8785 NorthAmerica <=50K 0.000000 0.000000
## 8790 NorthAmerica <=50K 8.319230 0.000000
## 8791 NorthAmerica >50K 0.000000 0.000000
## 8794 NorthAmerica <=50K 0.000000 0.000000
## 8799 NorthAmerica <=50K 0.000000 7.451242
## 8801 NorthAmerica >50K 0.000000 0.000000
## 8814 NorthAmerica <=50K 0.000000 0.000000
## 8818 NorthAmerica <=50K 0.000000 0.000000
## 8819 NorthAmerica <=50K 0.000000 0.000000
## 8824 NorthAmerica <=50K 0.000000 0.000000
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## 8836 NorthAmerica <=50K 0.000000 0.000000
## 8840 NorthAmerica <=50K 0.000000 0.000000
## 8848 NorthAmerica <=50K 0.000000 0.000000
## 8855 NorthAmerica >50K 9.617471 0.000000
## 8858 NorthAmerica >50K 0.000000 0.000000
## 8859 NorthAmerica <=50K 0.000000 0.000000
## 8861 NorthAmerica <=50K 0.000000 0.000000
## 8865 NorthAmerica >50K 0.000000 0.000000
## 8866 NorthAmerica <=50K 0.000000 0.000000
## 8868 NorthAmerica <=50K 0.000000 0.000000
## 8870 NorthAmerica >50K 0.000000 0.000000
## 8883 NorthAmerica <=50K 0.000000 0.000000
## 8884 NorthAmerica >50K 0.000000 7.589842
## 8885 NorthAmerica <=50K 0.000000 0.000000
## 8903 NorthAmerica <=50K 0.000000 0.000000
## 8916 CentrAmerica <=50K 0.000000 0.000000
## 8924 NorthAmerica <=50K 0.000000 0.000000
## 8926 NorthAmerica <=50K 0.000000 0.000000
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## 8950 NorthAmerica <=50K 0.000000 0.000000
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## 8958 NorthAmerica <=50K 0.000000 0.000000
## 8959 NorthAmerica <=50K 8.310169 0.000000
## 8966 NorthAmerica <=50K 0.000000 0.000000
## 8967 NorthAmerica >50K 8.040447 0.000000
## 8970 NorthAmerica <=50K 0.000000 0.000000
## 8971 NorthAmerica <=50K 0.000000 0.000000
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## 8976 NorthAmerica >50K 0.000000 0.000000
## 8979 NorthAmerica <=50K 0.000000 0.000000
## 8980 NorthAmerica >50K 0.000000 0.000000
## 8987 NorthAmerica <=50K 0.000000 0.000000
## 8989 NorthAmerica >50K 0.000000 7.589842
## 8990 NorthAmerica >50K 0.000000 0.000000
## 8994 NorthAmerica <=50K 0.000000 0.000000
## 8997 NorthAmerica <=50K 0.000000 0.000000
## 9008 NorthAmerica <=50K 0.000000 0.000000
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## 9023 NorthAmerica >50K 0.000000 0.000000
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## 9047 NorthAmerica <=50K 0.000000 0.000000
## 9049 NorthAmerica <=50K 0.000000 0.000000
## 9058 NorthAmerica <=50K 0.000000 0.000000
## 9062 NorthAmerica <=50K 0.000000 0.000000
## 9063 NorthAmerica >50K 8.947546 0.000000
## 9071 NorthAmerica >50K 0.000000 0.000000
## 9077 NorthAmerica <=50K 0.000000 0.000000
## 9079 NorthAmerica <=50K 0.000000 0.000000
## 9084 NorthAmerica <=50K 0.000000 0.000000
## 9087 NorthAmerica <=50K 0.000000 7.372118
## 9093 NorthAmerica <=50K 0.000000 0.000000
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## 9115 NorthAmerica <=50K 0.000000 0.000000
## 9124 NorthAmerica >50K 0.000000 0.000000
## 9125 NorthAmerica <=50K 0.000000 0.000000
## 9128 NorthAmerica <=50K 0.000000 0.000000
## 9130 NorthAmerica >50K 0.000000 7.303843
## 9131 NorthAmerica >50K 0.000000 0.000000
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## 9241 NorthAmerica <=50K 0.000000 0.000000
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## 9253 CentrAmerica <=50K 0.000000 7.365180
## 9255 NorthAmerica >50K 0.000000 0.000000
## 9261 NorthAmerica <=50K 0.000000 0.000000
## 9269 NorthAmerica >50K 0.000000 0.000000
## 9271 NorthAmerica <=50K 0.000000 0.000000
## 9276 NorthAmerica <=50K 0.000000 7.379632
## 9284 NorthAmerica <=50K 0.000000 0.000000
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## 9304 NorthAmerica <=50K 0.000000 0.000000
## 9305 NorthAmerica <=50K 0.000000 0.000000
## 9310 NorthAmerica <=50K 0.000000 7.774015
## 9314 NorthAmerica <=50K 0.000000 0.000000
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## 9375 NorthAmerica <=50K 9.265491 0.000000
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## 9391 NorthAmerica <=50K 0.000000 0.000000
## 9393 NorthAmerica >50K 0.000000 0.000000
## 9398 NorthAmerica <=50K 0.000000 7.622175
## 9399 NorthAmerica <=50K 0.000000 0.000000
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## 9408 NorthAmerica <=50K 0.000000 7.591357
## 9409 NorthAmerica <=50K 0.000000 0.000000
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## 9439 NorthAmerica <=50K 0.000000 7.537430
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## 9448 NorthAmerica <=50K 0.000000 0.000000
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## 9466 NorthAmerica >50K 0.000000 0.000000
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## 9472 NorthAmerica <=50K 0.000000 0.000000
## 9475 NorthAmerica <=50K 0.000000 7.230563
## 9476 Europe <=50K 0.000000 0.000000
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## 9487 NorthAmerica <=50K 0.000000 0.000000
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## 9502 NorthAmerica <=50K 0.000000 0.000000
## 9516 NorthAmerica <=50K 7.619233 0.000000
## 9523 NorthAmerica <=50K 0.000000 0.000000
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## 9544 NorthAmerica <=50K 0.000000 0.000000
## 9546 NorthAmerica <=50K 0.000000 0.000000
## 9547 NorthAmerica <=50K 0.000000 0.000000
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## 9553 NorthAmerica <=50K 0.000000 0.000000
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## 9560 CentrAmerica >50K 10.233834 0.000000
## 9565 NorthAmerica <=50K 0.000000 0.000000
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## 9624 NorthAmerica <=50K 7.697575 0.000000
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## 9819 NorthAmerica <=50K 0.000000 0.000000
## 9820 NorthAmerica >50K 0.000000 0.000000
## 9824 USTerritory <=50K 0.000000 0.000000
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## 9837 EAsia <=50K 7.967627 0.000000
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## 9849 EAsia <=50K 0.000000 0.000000
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## 15045 NorthAmerica <=50K 8.779250 0.000000
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## 15110 NorthAmerica <=50K 0.000000 0.000000
## 15122 NorthAmerica >50K 8.895493 0.000000
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## 15126 NorthAmerica >50K 8.895493 0.000000
## 15133 NorthAmerica >50K 9.514216 0.000000
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## 15229 USTerritory <=50K 0.000000 0.000000
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## 15310 NorthAmerica <=50K 0.000000 0.000000
## 15316 NorthAmerica >50K 8.947546 0.000000
## 15324 NorthAmerica <=50K 0.000000 0.000000
## 15331 NorthAmerica <=50K 0.000000 7.422374
## 15332 NorthAmerica >50K 9.261129 0.000000
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## 15496 NorthAmerica >50K 8.947546 0.000000
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## 15581 SouthAmerica <=50K 0.000000 0.000000
## 15585 Europe <=50K 0.000000 0.000000
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## 15797 NorthAmerica <=50K 6.962243 0.000000
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## 15857 NorthAmerica <=50K 0.000000 7.602401
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## 15863 CentrAmerica <=50K 0.000000 0.000000
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## 15966 NorthAmerica <=50K 7.317876 0.000000
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## 16143 CentrAmerica <=50K 0.000000 0.000000
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## 16154 NorthAmerica <=50K 0.000000 7.537430
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## 16221 NorthAmerica >50K 8.895493 0.000000
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## 16295 NorthAmerica <=50K 7.967627 0.000000
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## 16314 NorthAmerica <=50K 8.832004 0.000000
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## 16321 NorthAmerica >50K 0.000000 7.543273
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## 16370 NorthAmerica <=50K 0.000000 0.000000
## 16373 CentrAmerica >50K 9.147081 0.000000
## 16379 NorthAmerica <=50K 0.000000 0.000000
## 16388 NorthAmerica <=50K 0.000000 0.000000
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## 16442 NorthAmerica <=50K 0.000000 0.000000
## 16446 NorthAmerica <=50K 0.000000 0.000000
## 16450 NorthAmerica >50K 0.000000 0.000000
## 16456 NorthAmerica <=50K 0.000000 7.588324
## 16458 NorthAmerica >50K 8.895493 0.000000
## 16460 NorthAmerica <=50K 0.000000 0.000000
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## 16472 NorthAmerica <=50K 0.000000 0.000000
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## 16506 NorthAmerica <=50K 0.000000 7.551187
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## 16605 NorthAmerica >50K 8.767018 0.000000
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## 16661 NorthAmerica <=50K 0.000000 7.588324
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## 16857 NorthAmerica >50K 8.715716 0.000000
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## 17584 USTerritory <=50K 0.000000 6.439350
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## 18252 NorthAmerica >50K 8.895493 0.000000
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## 18397 NorthAmerica <=50K 0.000000 7.422374
## 18405 NorthAmerica <=50K 0.000000 0.000000
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## 18418 NorthAmerica <=50K 0.000000 0.000000
## 18419 NorthAmerica >50K 0.000000 7.543273
## 18427 NorthAmerica <=50K 0.000000 0.000000
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## 18433 USTerritory <=50K 0.000000 0.000000
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## 18655 NorthAmerica >50K 11.512925 0.000000
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## 19055 CentrAmerica <=50K 7.975221 0.000000
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## 19220 NorthAmerica >50K 0.000000 7.589842
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## 19969 NorthAmerica >50K 0.000000 7.589842
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## 20056 NorthAmerica >50K 11.512925 0.000000
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## 20086 NorthAmerica <=50K 8.135054 0.000000
## 20090 NorthAmerica >50K 0.000000 0.000000
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## 20094 NorthAmerica >50K 0.000000 7.543273
## 20095 NorthAmerica <=50K 0.000000 0.000000
## 20110 NorthAmerica <=50K 6.388561 0.000000
## 20115 CentrAmerica <=50K 0.000000 0.000000
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## 24993 NorthAmerica <=50K 0.000000 0.000000
## 24997 NorthAmerica <=50K 0.000000 0.000000
## 24998 NorthAmerica <=50K 0.000000 0.000000
## 25002 NorthAmerica <=50K 0.000000 0.000000
## 25004 NorthAmerica <=50K 0.000000 0.000000
## 25007 NorthAmerica >50K 8.552367 0.000000
## 25026 Europe <=50K 8.051341 0.000000
## 25037 NorthAmerica <=50K 0.000000 0.000000
## 25040 NorthAmerica >50K 0.000000 7.589842
## 25042 NorthAmerica <=50K 0.000000 0.000000
## 25044 NorthAmerica <=50K 0.000000 0.000000
## 25045 NorthAmerica <=50K 0.000000 0.000000
## 25053 NorthAmerica <=50K 0.000000 0.000000
## 25057 NorthAmerica <=50K 0.000000 0.000000
## 25059 NorthAmerica <=50K 0.000000 0.000000
## 25072 NorthAmerica <=50K 0.000000 0.000000
## 25090 NorthAmerica <=50K 0.000000 0.000000
## 25092 NorthAmerica <=50K 8.444838 0.000000
## 25093 NorthAmerica <=50K 0.000000 0.000000
## 25102 NorthAmerica <=50K 0.000000 0.000000
## 25109 NorthAmerica >50K 8.895493 0.000000
## 25118 NorthAmerica <=50K 0.000000 0.000000
## 25119 EAsia <=50K 0.000000 7.303843
## 25125 NorthAmerica <=50K 0.000000 0.000000
## 25135 NorthAmerica <=50K 0.000000 0.000000
## 25136 NorthAmerica >50K 0.000000 7.589842
## 25141 NorthAmerica <=50K 0.000000 0.000000
## 25143 NorthAmerica <=50K 0.000000 0.000000
## 25149 NorthAmerica <=50K 0.000000 0.000000
## 25150 NorthAmerica >50K 0.000000 0.000000
## 25151 NorthAmerica >50K 0.000000 7.355641
## 25153 NorthAmerica <=50K 0.000000 0.000000
## 25162 NorthAmerica <=50K 7.883823 0.000000
## 25163 NorthAmerica <=50K 0.000000 0.000000
## 25177 NorthAmerica <=50K 0.000000 0.000000
## 25178 NorthAmerica <=50K 0.000000 0.000000
## 25185 NorthAmerica <=50K 0.000000 0.000000
## 25186 CentrAmerica <=50K 0.000000 0.000000
## 25190 NorthAmerica <=50K 0.000000 0.000000
## 25191 NorthAmerica >50K 0.000000 0.000000
## 25194 NorthAmerica <=50K 0.000000 0.000000
## 25199 NorthAmerica <=50K 0.000000 0.000000
## 25201 NorthAmerica <=50K 0.000000 0.000000
## 25210 NorthAmerica >50K 0.000000 0.000000
## 25217 NorthAmerica <=50K 7.685703 0.000000
## 25220 NorthAmerica <=50K 0.000000 0.000000
## 25231 NorthAmerica <=50K 8.444838 0.000000
## 25235 NorthAmerica <=50K 0.000000 0.000000
## 25239 NorthAmerica <=50K 0.000000 0.000000
## 25246 NorthAmerica <=50K 0.000000 0.000000
## 25251 NorthAmerica >50K 8.552367 0.000000
## 25255 NorthAmerica <=50K 0.000000 0.000000
## 25256 NorthAmerica >50K 9.617471 0.000000
## 25258 NorthAmerica <=50K 0.000000 0.000000
## 25260 NorthAmerica >50K 9.617471 0.000000
## 25264 NorthAmerica <=50K 0.000000 0.000000
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## 25274 NorthAmerica <=50K 0.000000 0.000000
## 25280 NorthAmerica <=50K 0.000000 0.000000
## 25292 NorthAmerica <=50K 0.000000 0.000000
## 25297 CentrAmerica <=50K 0.000000 0.000000
## 25299 NorthAmerica <=50K 0.000000 0.000000
## 25304 NorthAmerica <=50K 0.000000 0.000000
## 25318 NorthAmerica <=50K 0.000000 0.000000
## 25321 NorthAmerica >50K 0.000000 0.000000
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## 25327 NorthAmerica <=50K 0.000000 0.000000
## 25329 NorthAmerica <=50K 0.000000 0.000000
## 25330 NorthAmerica <=50K 0.000000 0.000000
## 25336 NorthAmerica >50K 0.000000 7.589842
## 25344 NorthAmerica <=50K 0.000000 0.000000
## 25346 NorthAmerica <=50K 0.000000 0.000000
## 25349 NorthAmerica <=50K 0.000000 0.000000
## 25352 NorthAmerica <=50K 0.000000 0.000000
## 25357 NorthAmerica >50K 9.617471 0.000000
## 25363 NorthAmerica <=50K 8.109526 0.000000
## 25376 NorthAmerica <=50K 0.000000 0.000000
## 25377 SAsia <=50K 0.000000 0.000000
## 25380 NorthAmerica <=50K 0.000000 0.000000
## 25382 NorthAmerica >50K 0.000000 0.000000
## 25383 NorthAmerica <=50K 0.000000 0.000000
## 25384 NorthAmerica >50K 0.000000 0.000000
## 25404 NorthAmerica <=50K 0.000000 0.000000
## 25409 NorthAmerica <=50K 0.000000 7.395722
## 25412 NorthAmerica >50K 0.000000 0.000000
## 25413 NorthAmerica <=50K 0.000000 0.000000
## 25421 NorthAmerica <=50K 7.685703 0.000000
## 25422 NorthAmerica <=50K 0.000000 0.000000
## 25427 NorthAmerica >50K 0.000000 0.000000
## 25430 NorthAmerica >50K 8.895493 0.000000
## 25431 NorthAmerica <=50K 0.000000 0.000000
## 25439 NorthAmerica >50K 0.000000 7.543273
## 25441 NorthAmerica <=50K 0.000000 0.000000
## 25443 NorthAmerica <=50K 0.000000 0.000000
## 25453 NorthAmerica <=50K 0.000000 7.591357
## 25456 NorthAmerica <=50K 0.000000 0.000000
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## 25475 NorthAmerica <=50K 0.000000 0.000000
## 25479 CentrAmerica <=50K 0.000000 0.000000
## 25489 NorthAmerica <=50K 0.000000 0.000000
## 25490 NorthAmerica <=50K 0.000000 0.000000
## 25492 CentrAmerica >50K 0.000000 7.774015
## 25501 NorthAmerica <=50K 0.000000 0.000000
## 25505 CentrAmerica <=50K 0.000000 0.000000
## 25508 NorthAmerica <=50K 0.000000 0.000000
## 25511 NorthAmerica <=50K 0.000000 0.000000
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## 25520 NorthAmerica <=50K 0.000000 0.000000
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## 25530 NorthAmerica <=50K 0.000000 0.000000
## 25534 NorthAmerica <=50K 0.000000 0.000000
## 25542 NorthAmerica <=50K 0.000000 0.000000
## 25556 NorthAmerica <=50K 0.000000 0.000000
## 25569 NorthAmerica <=50K 0.000000 0.000000
## 25570 CentrAmerica <=50K 7.855932 0.000000
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## 25584 NorthAmerica <=50K 0.000000 0.000000
## 25585 NorthAmerica <=50K 0.000000 0.000000
## 25593 NorthAmerica <=50K 0.000000 0.000000
## 25596 NorthAmerica >50K 0.000000 0.000000
## 25603 NorthAmerica <=50K 0.000000 7.722678
## 25611 NorthAmerica >50K 0.000000 0.000000
## 25624 NorthAmerica >50K 9.617471 0.000000
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## 25659 NorthAmerica <=50K 0.000000 0.000000
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## 25670 NorthAmerica <=50K 0.000000 0.000000
## 25690 NorthAmerica <=50K 0.000000 0.000000
## 25695 NorthAmerica >50K 8.552367 0.000000
## 25697 EAsia <=50K 0.000000 0.000000
## 25702 NorthAmerica <=50K 0.000000 0.000000
## 25703 NorthAmerica <=50K 0.000000 0.000000
## 25708 NorthAmerica >50K 0.000000 0.000000
## 25721 NorthAmerica <=50K 0.000000 0.000000
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## 25744 EAsia >50K 0.000000 0.000000
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## 25784 NorthAmerica <=50K 0.000000 0.000000
## 25788 NorthAmerica <=50K 0.000000 7.757906
## 25790 NorthAmerica >50K 9.617471 0.000000
## 25793 NorthAmerica <=50K 0.000000 0.000000
## 25794 NorthAmerica <=50K 0.000000 7.921173
## 25798 NorthAmerica <=50K 0.000000 0.000000
## 25801 NorthAmerica >50K 0.000000 7.589842
## 25804 NorthAmerica >50K 0.000000 0.000000
## 25809 NorthAmerica >50K 0.000000 0.000000
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## 25823 NorthAmerica <=50K 0.000000 0.000000
## 25827 NorthAmerica <=50K 0.000000 0.000000
## 25841 NorthAmerica >50K 8.895493 0.000000
## 25842 CentrAmerica >50K 11.512925 0.000000
## 25849 NorthAmerica <=50K 0.000000 0.000000
## 25850 NorthAmerica <=50K 0.000000 0.000000
## 25851 NorthAmerica >50K 8.895493 0.000000
## 25852 NorthAmerica >50K 0.000000 0.000000
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## 25895 NorthAmerica >50K 0.000000 0.000000
## 25896 NorthAmerica <=50K 0.000000 0.000000
## 25898 SAsia <=50K 0.000000 0.000000
## 25900 EAsia <=50K 0.000000 0.000000
## 25901 NorthAmerica <=50K 0.000000 0.000000
## 25905 NorthAmerica >50K 0.000000 0.000000
## 25910 NorthAmerica >50K 0.000000 0.000000
## 25915 NorthAmerica >50K 0.000000 7.589842
## 25917 NorthAmerica <=50K 8.150468 0.000000
## 25919 NorthAmerica <=50K 0.000000 0.000000
## 25921 NorthAmerica <=50K 0.000000 0.000000
## 25922 NorthAmerica <=50K 0.000000 0.000000
## 25925 NorthAmerica <=50K 8.109526 0.000000
## 25930 USTerritory <=50K 0.000000 0.000000
## 25935 NorthAmerica <=50K 0.000000 0.000000
## 25937 NorthAmerica <=50K 8.209308 0.000000
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## 26070 NorthAmerica >50K 8.947546 0.000000
## 26071 NorthAmerica <=50K 0.000000 0.000000
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## 26078 NorthAmerica <=50K 0.000000 7.379632
## 26090 NorthAmerica >50K 0.000000 0.000000
## 26091 NorthAmerica <=50K 0.000000 0.000000
## 26092 EAsia <=50K 0.000000 0.000000
## 26099 NorthAmerica >50K 0.000000 0.000000
## 26100 NorthAmerica <=50K 0.000000 0.000000
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## 26142 NorthAmerica <=50K 0.000000 0.000000
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## 26146 NorthAmerica <=50K 0.000000 0.000000
## 26151 EAsia >50K 0.000000 0.000000
## 26153 SouthAmerica <=50K 0.000000 0.000000
## 26157 NorthAmerica <=50K 0.000000 0.000000
## 26161 Europe <=50K 0.000000 0.000000
## 26162 NorthAmerica >50K 0.000000 0.000000
## 26167 NorthAmerica <=50K 0.000000 0.000000
## 26169 NorthAmerica >50K 0.000000 0.000000
## 26177 NorthAmerica <=50K 0.000000 0.000000
## 26179 NorthAmerica >50K 9.261129 0.000000
## 26186 NorthAmerica <=50K 8.519989 0.000000
## 26198 CentrAmerica <=50K 0.000000 0.000000
## 26201 NorthAmerica <=50K 0.000000 0.000000
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## 26240 NorthAmerica <=50K 0.000000 0.000000
## 26241 NorthAmerica <=50K 0.000000 0.000000
## 26246 NorthAmerica <=50K 7.684784 0.000000
## 26247 NorthAmerica <=50K 0.000000 0.000000
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## 26255 NorthAmerica <=50K 0.000000 0.000000
## 26263 NorthAmerica <=50K 0.000000 0.000000
## 26266 NorthAmerica <=50K 0.000000 7.250636
## 26274 NorthAmerica <=50K 0.000000 0.000000
## 26284 NorthAmerica <=50K 0.000000 7.250636
## 26290 NorthAmerica >50K 0.000000 0.000000
## 26292 NorthAmerica <=50K 0.000000 0.000000
## 26294 NorthAmerica <=50K 0.000000 0.000000
## 26303 NorthAmerica <=50K 0.000000 0.000000
## 26312 NorthAmerica <=50K 0.000000 0.000000
## 26325 NorthAmerica <=50K 0.000000 7.379632
## 26327 NorthAmerica <=50K 0.000000 7.365180
## 26334 NorthAmerica <=50K 0.000000 0.000000
## 26335 NorthAmerica <=50K 0.000000 0.000000
## 26349 NorthAmerica >50K 0.000000 0.000000
## 26352 NorthAmerica <=50K 0.000000 0.000000
## 26356 NorthAmerica <=50K 0.000000 0.000000
## 26357 SAsia >50K 8.040447 0.000000
## 26378 CentrAmerica <=50K 0.000000 0.000000
## 26385 NorthAmerica <=50K 0.000000 0.000000
## 26388 NorthAmerica <=50K 0.000000 0.000000
## 26392 NorthAmerica <=50K 0.000000 0.000000
## 26393 NorthAmerica <=50K 0.000000 0.000000
## 26401 NorthAmerica >50K 0.000000 0.000000
## 26402 NorthAmerica <=50K 0.000000 0.000000
## 26404 NorthAmerica <=50K 0.000000 0.000000
## 26416 EAsia >50K 0.000000 7.589842
## 26422 NorthAmerica <=50K 0.000000 0.000000
## 26426 NorthAmerica <=50K 0.000000 0.000000
## 26429 NorthAmerica <=50K 0.000000 0.000000
## 26430 NorthAmerica >50K 0.000000 0.000000
## 26439 Europe <=50K 7.684784 0.000000
## 26444 NorthAmerica <=50K 0.000000 0.000000
## 26446 NorthAmerica <=50K 0.000000 0.000000
## 26454 NorthAmerica <=50K 0.000000 0.000000
## 26458 EAsia >50K 0.000000 7.589842
## 26459 NorthAmerica <=50K 0.000000 0.000000
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## 26470 NorthAmerica <=50K 0.000000 0.000000
## 26471 NorthAmerica >50K 0.000000 0.000000
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## 26499 NorthAmerica >50K 0.000000 7.543273
## 26501 NorthAmerica <=50K 0.000000 0.000000
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## 26544 NorthAmerica <=50K 0.000000 0.000000
## 26550 NorthAmerica <=50K 0.000000 7.807103
## 26551 NorthAmerica <=50K 0.000000 0.000000
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## 26596 NorthAmerica <=50K 0.000000 0.000000
## 26600 NorthAmerica <=50K 0.000000 7.379632
## 26601 NorthAmerica >50K 0.000000 0.000000
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## 26652 USTerritory <=50K 0.000000 0.000000
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## 26755 NorthAmerica <=50K 7.967627 0.000000
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## 26796 NorthAmerica >50K 8.781862 0.000000
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## 26798 NorthAmerica >50K 0.000000 7.946264
## 26807 NorthAmerica >50K 0.000000 0.000000
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## 26817 NorthAmerica >50K 8.895493 0.000000
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## 26822 NorthAmerica <=50K 0.000000 0.000000
## 26825 NorthAmerica <=50K 0.000000 7.454141
## 26826 NorthAmerica >50K 11.512925 0.000000
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## 26855 NorthAmerica <=50K 0.000000 7.372118
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## 26887 NorthAmerica >50K 9.617471 0.000000
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## 26996 NorthAmerica <=50K 0.000000 7.864804
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## 27009 NorthAmerica <=50K 7.317876 0.000000
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## 30119 NorthAmerica >50K 8.895493 0.000000
## 30122 NorthAmerica <=50K 0.000000 0.000000
## 30124 NorthAmerica >50K 8.947546 0.000000
## 30125 NorthAmerica <=50K 0.000000 0.000000
## 30128 NorthAmerica >50K 9.261129 0.000000
## 30129 NorthAmerica <=50K 0.000000 0.000000
## 30130 NorthAmerica >50K 0.000000 0.000000
## 30132 NorthAmerica <=50K 0.000000 0.000000
## 30134 NorthAmerica <=50K 0.000000 0.000000
## 30147 NorthAmerica <=50K 8.109526 0.000000
## 30151 NorthAmerica <=50K 0.000000 0.000000
## 30154 NorthAmerica <=50K 0.000000 0.000000
## 30157 NorthAmerica <=50K 0.000000 0.000000
## 30158 NorthAmerica <=50K 0.000000 0.000000
## 30161 NorthAmerica <=50K 0.000000 0.000000
## 30163 NorthAmerica <=50K 8.319230 0.000000
## 30165 NorthAmerica <=50K 0.000000 0.000000
## 30169 CentrAmerica <=50K 0.000000 0.000000
## 30172 NorthAmerica <=50K 0.000000 0.000000
## 30188 NorthAmerica <=50K 0.000000 0.000000
## 30196 Europe <=50K 0.000000 0.000000
## 30200 NorthAmerica <=50K 0.000000 0.000000
## 30202 NorthAmerica <=50K 7.948032 0.000000
## 30211 NorthAmerica <=50K 0.000000 0.000000
## 30213 NorthAmerica >50K 8.473868 0.000000
## 30214 NorthAmerica <=50K 0.000000 0.000000
## 30215 NorthAmerica <=50K 0.000000 0.000000
## 30217 NorthAmerica >50K 8.895493 0.000000
## 30227 NorthAmerica <=50K 0.000000 0.000000
## 30228 NorthAmerica >50K 0.000000 0.000000
## 30237 NorthAmerica <=50K 0.000000 0.000000
## 30242 NorthAmerica <=50K 0.000000 0.000000
## 30258 NorthAmerica <=50K 0.000000 0.000000
## 30260 NorthAmerica >50K 8.947546 0.000000
## 30265 NorthAmerica <=50K 0.000000 0.000000
## 30266 NorthAmerica <=50K 0.000000 0.000000
## 30273 CentrAmerica <=50K 0.000000 0.000000
## 30274 NorthAmerica >50K 0.000000 7.551187
## 30278 NorthAmerica >50K 8.552367 0.000000
## 30283 NorthAmerica <=50K 0.000000 0.000000
## 30285 NorthAmerica >50K 0.000000 7.509883
## 30286 CentrAmerica <=50K 0.000000 0.000000
## 30291 NorthAmerica >50K 0.000000 0.000000
## 30305 NorthAmerica <=50K 0.000000 0.000000
## 30308 NorthAmerica <=50K 0.000000 7.379632
## 30315 NorthAmerica <=50K 0.000000 0.000000
## 30316 NorthAmerica >50K 0.000000 0.000000
## 30323 SouthAmerica <=50K 0.000000 0.000000
## 30325 NorthAmerica <=50K 0.000000 0.000000
## 30345 NorthAmerica <=50K 0.000000 0.000000
## 30348 SouthAmerica <=50K 0.000000 0.000000
## 30353 NorthAmerica >50K 0.000000 0.000000
## 30360 NorthAmerica <=50K 0.000000 0.000000
## 30362 NorthAmerica <=50K 0.000000 0.000000
## 30367 NorthAmerica <=50K 0.000000 0.000000
## 30375 NorthAmerica <=50K 0.000000 0.000000
## 30382 NorthAmerica <=50K 0.000000 0.000000
## 30385 NorthAmerica <=50K 0.000000 0.000000
## 30391 NorthAmerica <=50K 0.000000 0.000000
## 30394 NorthAmerica >50K 0.000000 0.000000
## 30395 NorthAmerica <=50K 0.000000 0.000000
## 30412 NorthAmerica <=50K 0.000000 0.000000
## 30414 NorthAmerica <=50K 0.000000 0.000000
## 30417 NorthAmerica <=50K 0.000000 0.000000
## 30422 NorthAmerica <=50K 7.967627 0.000000
## 30438 NorthAmerica <=50K 0.000000 0.000000
## 30459 NorthAmerica <=50K 0.000000 0.000000
## 30460 NorthAmerica <=50K 0.000000 0.000000
## 30468 NorthAmerica <=50K 0.000000 0.000000
## 30477 CentrAmerica >50K 0.000000 7.543273
## 30486 NorthAmerica >50K 0.000000 0.000000
## 30501 NorthAmerica <=50K 0.000000 0.000000
## 30514 NorthAmerica <=50K 0.000000 0.000000
## 30519 NorthAmerica <=50K 8.051341 0.000000
## 30522 NorthAmerica >50K 0.000000 0.000000
## 30529 CentrAmerica <=50K 0.000000 7.303843
## 30530 NorthAmerica <=50K 0.000000 0.000000
## 30531 NorthAmerica <=50K 0.000000 0.000000
## 30532 NorthAmerica <=50K 0.000000 0.000000
## 30539 NorthAmerica <=50K 0.000000 0.000000
## 30541 NorthAmerica <=50K 0.000000 0.000000
## 30543 NorthAmerica <=50K 0.000000 0.000000
## 30548 NorthAmerica <=50K 0.000000 0.000000
## 30549 NorthAmerica <=50K 0.000000 0.000000
## 30551 NorthAmerica <=50K 0.000000 0.000000
## 30553 NorthAmerica <=50K 0.000000 0.000000
## 30554 NorthAmerica <=50K 0.000000 0.000000
## 30557 NorthAmerica >50K 0.000000 0.000000
## 30558 NorthAmerica <=50K 0.000000 0.000000
## 30565 NorthAmerica >50K 0.000000 0.000000
## 30571 NorthAmerica <=50K 0.000000 0.000000
## 30583 CentrAmerica <=50K 0.000000 0.000000
## 30586 NorthAmerica >50K 0.000000 0.000000
## 30589 NorthAmerica <=50K 0.000000 0.000000
## 30600 NorthAmerica <=50K 0.000000 0.000000
## 30608 NorthAmerica <=50K 0.000000 0.000000
## 30612 CentrAmerica <=50K 0.000000 0.000000
## 30614 NorthAmerica <=50K 0.000000 0.000000
## 30617 NorthAmerica <=50K 0.000000 0.000000
## 30620 NorthAmerica <=50K 0.000000 0.000000
## 30621 NorthAmerica >50K 0.000000 0.000000
## 30622 NorthAmerica >50K 0.000000 0.000000
## 30628 NorthAmerica <=50K 0.000000 0.000000
## 30635 Europe <=50K 0.000000 0.000000
## 30641 NorthAmerica <=50K 0.000000 0.000000
## 30651 NorthAmerica <=50K 0.000000 0.000000
## 30659 NorthAmerica <=50K 0.000000 0.000000
## 30663 NorthAmerica <=50K 0.000000 0.000000
## 30668 NorthAmerica >50K 0.000000 0.000000
## 30675 NorthAmerica <=50K 0.000000 0.000000
## 30686 NorthAmerica <=50K 0.000000 0.000000
## 30689 NorthAmerica >50K 0.000000 0.000000
## 30692 NorthAmerica <=50K 0.000000 0.000000
## 30701 CentrAmerica >50K 0.000000 0.000000
## 30708 NorthAmerica <=50K 0.000000 0.000000
## 30713 NorthAmerica <=50K 0.000000 0.000000
## 30715 NorthAmerica <=50K 0.000000 0.000000
## 30719 NorthAmerica <=50K 0.000000 0.000000
## 30720 NorthAmerica <=50K 0.000000 0.000000
## 30725 NorthAmerica >50K 0.000000 0.000000
## 30729 NorthAmerica <=50K 8.813438 0.000000
## 30732 NorthAmerica <=50K 0.000000 0.000000
## 30735 NorthAmerica >50K 0.000000 0.000000
## 30737 NorthAmerica >50K 8.947546 0.000000
## 30742 NorthAmerica <=50K 0.000000 0.000000
## 30744 CentrAmerica <=50K 0.000000 0.000000
## 30750 NorthAmerica >50K 0.000000 7.543273
## 30751 NorthAmerica <=50K 0.000000 0.000000
## 30762 NorthAmerica <=50K 0.000000 7.588324
## 30764 NorthAmerica <=50K 0.000000 0.000000
## 30766 NorthAmerica <=50K 0.000000 0.000000
## 30767 NorthAmerica >50K 0.000000 0.000000
## 30781 NorthAmerica <=50K 0.000000 0.000000
## 30796 NorthAmerica <=50K 0.000000 0.000000
## 30797 NorthAmerica <=50K 0.000000 0.000000
## 30810 NorthAmerica <=50K 0.000000 0.000000
## 30817 NorthAmerica <=50K 0.000000 0.000000
## 30820 NorthAmerica <=50K 0.000000 0.000000
## 30823 NorthAmerica <=50K 0.000000 0.000000
## 30824 NorthAmerica <=50K 0.000000 7.462789
## 30833 NorthAmerica <=50K 6.818924 0.000000
## 30834 SAsia >50K 0.000000 0.000000
## 30836 NorthAmerica >50K 8.386401 0.000000
## 30845 NorthAmerica <=50K 0.000000 0.000000
## 30858 NorthAmerica <=50K 0.000000 0.000000
## 30860 NorthAmerica <=50K 0.000000 7.374629
## 30863 NorthAmerica <=50K 7.709308 0.000000
## 30865 NorthAmerica >50K 0.000000 0.000000
## 30871 NorthAmerica >50K 0.000000 0.000000
## 30877 NorthAmerica <=50K 0.000000 0.000000
## 30879 NorthAmerica <=50K 0.000000 0.000000
## 30884 NorthAmerica <=50K 0.000000 0.000000
## 30887 NorthAmerica <=50K 0.000000 0.000000
## 30889 NorthAmerica >50K 0.000000 0.000000
## 30892 NorthAmerica <=50K 0.000000 0.000000
## 30893 CentrAmerica <=50K 0.000000 0.000000
## 30894 NorthAmerica <=50K 0.000000 0.000000
## 30896 NorthAmerica <=50K 0.000000 0.000000
## 30898 NorthAmerica <=50K 0.000000 0.000000
## 30899 NorthAmerica <=50K 0.000000 0.000000
## 30900 NorthAmerica <=50K 0.000000 0.000000
## 30904 NorthAmerica <=50K 0.000000 0.000000
## 30905 NorthAmerica <=50K 0.000000 0.000000
## 30908 NorthAmerica <=50K 8.393216 0.000000
## 30918 NorthAmerica <=50K 0.000000 0.000000
## 30927 NorthAmerica <=50K 0.000000 0.000000
## 30931 NorthAmerica <=50K 0.000000 0.000000
## 30933 NorthAmerica >50K 0.000000 0.000000
## 30940 NorthAmerica <=50K 0.000000 0.000000
## 30948 NorthAmerica <=50K 0.000000 0.000000
## 30961 NorthAmerica >50K 0.000000 0.000000
## 30977 NorthAmerica <=50K 0.000000 0.000000
## 30978 NorthAmerica <=50K 0.000000 0.000000
## 30979 NorthAmerica <=50K 0.000000 0.000000
## 30980 NorthAmerica >50K 9.617471 0.000000
## 30990 NorthAmerica <=50K 0.000000 0.000000
## 30992 NorthAmerica <=50K 0.000000 0.000000
## 30995 NorthAmerica <=50K 0.000000 0.000000
## 30996 NorthAmerica <=50K 0.000000 0.000000
## 30998 NorthAmerica <=50K 0.000000 0.000000
## 30999 NorthAmerica <=50K 0.000000 0.000000
## 31001 NorthAmerica >50K 0.000000 0.000000
## 31007 NorthAmerica >50K 0.000000 7.543273
## 31012 NorthAmerica >50K 0.000000 0.000000
## 31013 NorthAmerica <=50K 0.000000 0.000000
## 31033 NorthAmerica <=50K 0.000000 0.000000
## 31034 CentrAmerica <=50K 8.135054 0.000000
## 31036 NorthAmerica <=50K 8.519989 0.000000
## 31042 NorthAmerica <=50K 0.000000 0.000000
## 31043 NorthAmerica >50K 0.000000 0.000000
## 31050 NorthAmerica <=50K 0.000000 0.000000
## 31051 NorthAmerica >50K 0.000000 0.000000
## 31057 NorthAmerica >50K 0.000000 7.355641
## 31063 NorthAmerica <=50K 7.786552 0.000000
## 31071 NorthAmerica >50K 0.000000 0.000000
## 31073 NorthAmerica <=50K 0.000000 0.000000
## 31079 NorthAmerica <=50K 7.685703 0.000000
## 31081 NorthAmerica >50K 0.000000 7.551187
## 31083 NorthAmerica >50K 0.000000 0.000000
## 31088 NorthAmerica <=50K 0.000000 0.000000
## 31089 NorthAmerica <=50K 0.000000 0.000000
## 31092 NorthAmerica <=50K 0.000000 0.000000
## 31093 NorthAmerica <=50K 0.000000 0.000000
## 31095 NorthAmerica <=50K 0.000000 0.000000
## 31097 NorthAmerica >50K 0.000000 0.000000
## 31100 NorthAmerica <=50K 0.000000 0.000000
## 31104 NorthAmerica <=50K 0.000000 0.000000
## 31111 NorthAmerica >50K 0.000000 0.000000
## 31112 NorthAmerica >50K 11.512925 0.000000
## 31113 NorthAmerica <=50K 0.000000 0.000000
## 31117 NorthAmerica <=50K 0.000000 0.000000
## 31120 NorthAmerica <=50K 0.000000 0.000000
## 31121 NorthAmerica <=50K 0.000000 0.000000
## 31125 NorthAmerica <=50K 0.000000 0.000000
## 31129 CentrAmerica >50K 0.000000 0.000000
## 31131 NorthAmerica >50K 0.000000 0.000000
## 31134 NorthAmerica <=50K 0.000000 0.000000
## 31136 NorthAmerica <=50K 8.444838 0.000000
## 31143 NorthAmerica <=50K 0.000000 0.000000
## 31155 NorthAmerica <=50K 0.000000 0.000000
## 31156 NorthAmerica <=50K 0.000000 0.000000
## 31162 NorthAmerica >50K 0.000000 0.000000
## 31168 NorthAmerica <=50K 0.000000 0.000000
## 31174 NorthAmerica <=50K 0.000000 0.000000
## 31183 NorthAmerica >50K 0.000000 0.000000
## 31186 EAsia >50K 0.000000 0.000000
## 31192 NorthAmerica <=50K 0.000000 0.000000
## 31194 NorthAmerica <=50K 0.000000 0.000000
## 31203 Europe <=50K 0.000000 0.000000
## 31212 NorthAmerica <=50K 0.000000 0.000000
## 31217 NorthAmerica >50K 9.617471 0.000000
## 31229 NorthAmerica <=50K 0.000000 0.000000
## 31238 NorthAmerica <=50K 0.000000 0.000000
## 31241 NorthAmerica <=50K 0.000000 0.000000
## 31250 NorthAmerica <=50K 0.000000 0.000000
## 31251 NorthAmerica >50K 0.000000 0.000000
## 31252 NorthAmerica <=50K 0.000000 0.000000
## 31254 NorthAmerica <=50K 0.000000 0.000000
## 31255 NorthAmerica >50K 0.000000 0.000000
## 31262 NorthAmerica <=50K 0.000000 0.000000
## 31267 NorthAmerica >50K 9.617471 0.000000
## 31272 NorthAmerica >50K 0.000000 0.000000
## 31276 NorthAmerica <=50K 0.000000 0.000000
## 31277 NorthAmerica <=50K 0.000000 0.000000
## 31278 NorthAmerica >50K 0.000000 7.355641
## 31283 NorthAmerica >50K 8.895493 0.000000
## 31286 NorthAmerica <=50K 0.000000 0.000000
## 31288 NorthAmerica <=50K 0.000000 7.462215
## 31291 NorthAmerica <=50K 0.000000 0.000000
## 31300 NorthAmerica <=50K 0.000000 0.000000
## 31305 NorthAmerica <=50K 0.000000 0.000000
## 31312 NorthAmerica >50K 8.895493 0.000000
## 31316 NorthAmerica <=50K 0.000000 0.000000
## 31318 NorthAmerica <=50K 0.000000 0.000000
## 31321 NorthAmerica <=50K 8.209308 0.000000
## 31323 NorthAmerica >50K 0.000000 0.000000
## 31325 NorthAmerica <=50K 0.000000 7.201171
## 31326 NorthAmerica <=50K 0.000000 0.000000
## 31329 NorthAmerica <=50K 0.000000 0.000000
## 31330 NorthAmerica <=50K 0.000000 0.000000
## 31331 NorthAmerica <=50K 0.000000 0.000000
## 31332 NorthAmerica >50K 0.000000 7.543273
## 31333 EAsia <=50K 0.000000 0.000000
## 31337 CentrAmerica <=50K 0.000000 0.000000
## 31343 NorthAmerica <=50K 0.000000 0.000000
## 31348 NorthAmerica <=50K 0.000000 0.000000
## 31351 NorthAmerica <=50K 0.000000 0.000000
## 31353 NorthAmerica <=50K 0.000000 0.000000
## 31359 NorthAmerica <=50K 0.000000 0.000000
## 31364 NorthAmerica <=50K 0.000000 0.000000
## 31377 Europe <=50K 0.000000 0.000000
## 31395 NorthAmerica <=50K 0.000000 0.000000
## 31404 NorthAmerica <=50K 0.000000 0.000000
## 31408 NorthAmerica <=50K 0.000000 0.000000
## 31409 NorthAmerica <=50K 0.000000 0.000000
## 31411 NorthAmerica <=50K 0.000000 0.000000
## 31412 NorthAmerica >50K 0.000000 0.000000
## 31415 NorthAmerica <=50K 0.000000 0.000000
## 31416 NorthAmerica <=50K 0.000000 0.000000
## 31421 NorthAmerica >50K 0.000000 0.000000
## 31428 NorthAmerica <=50K 0.000000 0.000000
## 31431 NorthAmerica >50K 0.000000 0.000000
## 31432 NorthAmerica >50K 0.000000 0.000000
## 31438 NorthAmerica <=50K 0.000000 0.000000
## 31441 NorthAmerica <=50K 0.000000 0.000000
## 31446 NorthAmerica <=50K 0.000000 0.000000
## 31456 NorthAmerica <=50K 0.000000 0.000000
## 31459 NorthAmerica <=50K 0.000000 0.000000
## 31461 NorthAmerica <=50K 0.000000 0.000000
## 31462 NorthAmerica >50K 0.000000 0.000000
## 31469 CentrAmerica >50K 8.895493 0.000000
## 31470 NorthAmerica >50K 0.000000 0.000000
## 31477 NorthAmerica <=50K 0.000000 0.000000
## 31482 NorthAmerica >50K 0.000000 0.000000
## 31500 NorthAmerica <=50K 0.000000 0.000000
## 31505 NorthAmerica <=50K 8.444838 0.000000
## 31515 NorthAmerica <=50K 8.109526 0.000000
## 31518 NorthAmerica <=50K 0.000000 0.000000
## 31519 NorthAmerica <=50K 0.000000 0.000000
## 31525 NorthAmerica >50K 0.000000 0.000000
## 31527 NorthAmerica <=50K 0.000000 0.000000
## 31535 NorthAmerica >50K 0.000000 0.000000
## 31541 NorthAmerica <=50K 0.000000 0.000000
## 31542 NorthAmerica <=50K 0.000000 0.000000
## 31552 NorthAmerica <=50K 0.000000 0.000000
## 31553 NorthAmerica <=50K 0.000000 0.000000
## 31556 CentrAmerica <=50K 0.000000 0.000000
## 31562 NorthAmerica >50K 0.000000 7.551187
## 31569 NorthAmerica <=50K 0.000000 0.000000
## 31570 NorthAmerica <=50K 0.000000 0.000000
## 31572 NorthAmerica <=50K 0.000000 0.000000
## 31580 NorthAmerica <=50K 0.000000 0.000000
## 31587 NorthAmerica <=50K 0.000000 0.000000
## 31591 NorthAmerica <=50K 0.000000 0.000000
## 31592 NorthAmerica >50K 0.000000 0.000000
## 31594 NorthAmerica <=50K 0.000000 0.000000
## 31599 NorthAmerica <=50K 0.000000 0.000000
## 31600 NorthAmerica <=50K 0.000000 0.000000
## 31602 NorthAmerica <=50K 0.000000 0.000000
## 31605 NorthAmerica >50K 0.000000 0.000000
## 31610 NorthAmerica >50K 0.000000 0.000000
## 31619 NorthAmerica >50K 8.947546 0.000000
## 31622 NorthAmerica <=50K 0.000000 0.000000
## 31629 NorthAmerica >50K 0.000000 0.000000
## 31634 NorthAmerica >50K 0.000000 7.589842
## 31635 EAsia <=50K 0.000000 0.000000
## 31641 NorthAmerica <=50K 0.000000 0.000000
## 31646 NorthAmerica >50K 8.947546 0.000000
## 31665 NorthAmerica <=50K 0.000000 0.000000
## 31667 NorthAmerica <=50K 0.000000 0.000000
## 31673 NorthAmerica <=50K 0.000000 0.000000
## 31677 NorthAmerica <=50K 0.000000 0.000000
## 31678 NorthAmerica <=50K 0.000000 0.000000
## 31681 NorthAmerica >50K 0.000000 0.000000
## 31695 NorthAmerica <=50K 0.000000 0.000000
## 31697 NorthAmerica >50K 0.000000 0.000000
## 31702 CentrAmerica <=50K 0.000000 0.000000
## 31706 NorthAmerica <=50K 0.000000 0.000000
## 31715 NorthAmerica >50K 0.000000 0.000000
## 31719 NorthAmerica <=50K 0.000000 0.000000
## 31726 NorthAmerica <=50K 0.000000 0.000000
## 31740 NorthAmerica <=50K 0.000000 0.000000
## 31744 NorthAmerica >50K 0.000000 0.000000
## 31746 NorthAmerica >50K 0.000000 0.000000
## 31748 NorthAmerica >50K 0.000000 0.000000
## 31756 NorthAmerica <=50K 0.000000 0.000000
## 31757 NorthAmerica <=50K 0.000000 0.000000
## 31760 NorthAmerica <=50K 0.000000 0.000000
## 31761 NorthAmerica <=50K 0.000000 0.000000
## 31762 NorthAmerica >50K 0.000000 0.000000
## 31764 NorthAmerica >50K 0.000000 0.000000
## 31771 EAsia <=50K 0.000000 0.000000
## 31795 NorthAmerica >50K 0.000000 0.000000
## 31798 NorthAmerica <=50K 0.000000 0.000000
## 31801 NorthAmerica <=50K 8.135054 0.000000
## 31803 NorthAmerica >50K 9.617471 0.000000
## 31806 NorthAmerica <=50K 0.000000 0.000000
## 31808 NorthAmerica >50K 0.000000 0.000000
## 31809 NorthAmerica <=50K 0.000000 0.000000
## 31810 NorthAmerica >50K 8.552367 0.000000
## 31813 NorthAmerica <=50K 0.000000 0.000000
## 31814 NorthAmerica <=50K 0.000000 0.000000
## 31821 NorthAmerica <=50K 0.000000 0.000000
## 31838 NorthAmerica <=50K 0.000000 0.000000
## 31840 NorthAmerica <=50K 0.000000 0.000000
## 31846 NorthAmerica >50K 0.000000 7.551187
## 31852 NorthAmerica >50K 8.913416 0.000000
## 31864 NorthAmerica <=50K 0.000000 0.000000
## 31867 NorthAmerica <=50K 0.000000 0.000000
## 31868 NorthAmerica <=50K 0.000000 0.000000
## 31880 NorthAmerica <=50K 0.000000 0.000000
## 31885 NorthAmerica >50K 0.000000 0.000000
## 31886 NorthAmerica <=50K 0.000000 0.000000
## 31890 NorthAmerica <=50K 0.000000 0.000000
## 31894 NorthAmerica <=50K 0.000000 5.780744
## 31902 NorthAmerica <=50K 0.000000 0.000000
## 31903 Europe <=50K 0.000000 0.000000
## 31909 NorthAmerica <=50K 0.000000 0.000000
## 31913 NorthAmerica <=50K 0.000000 0.000000
## 31918 NorthAmerica <=50K 0.000000 0.000000
## 31920 CentrAmerica <=50K 0.000000 0.000000
## 31925 NorthAmerica <=50K 0.000000 0.000000
## 31927 NorthAmerica <=50K 0.000000 0.000000
## 31929 NorthAmerica <=50K 0.000000 0.000000
## 31932 NorthAmerica <=50K 0.000000 0.000000
## 31944 NorthAmerica <=50K 0.000000 0.000000
## 31948 NorthAmerica <=50K 0.000000 0.000000
## 31954 NorthAmerica >50K 0.000000 7.522400
## 31957 NorthAmerica <=50K 0.000000 0.000000
## 31958 NorthAmerica <=50K 0.000000 0.000000
## 31965 NorthAmerica <=50K 0.000000 0.000000
## 31972 NorthAmerica <=50K 0.000000 0.000000
## 31976 NorthAmerica <=50K 0.000000 0.000000
## 31979 NorthAmerica >50K 0.000000 0.000000
## 31988 NorthAmerica <=50K 0.000000 0.000000
## 31990 NorthAmerica <=50K 0.000000 0.000000
## 31992 NorthAmerica <=50K 0.000000 0.000000
## 32001 NorthAmerica <=50K 0.000000 0.000000
## 32004 NorthAmerica <=50K 0.000000 0.000000
## 32009 NorthAmerica <=50K 0.000000 0.000000
## 32016 NorthAmerica <=50K 0.000000 0.000000
## 32020 NorthAmerica <=50K 0.000000 0.000000
## 32022 NorthAmerica <=50K 0.000000 0.000000
## 32024 NorthAmerica <=50K 0.000000 0.000000
## 32025 NorthAmerica >50K 0.000000 0.000000
## 32026 NorthAmerica >50K 0.000000 0.000000
## 32028 NorthAmerica >50K 9.061260 0.000000
## 32032 NorthAmerica <=50K 0.000000 0.000000
## 32044 NorthAmerica <=50K 0.000000 0.000000
## 32050 NorthAmerica >50K 0.000000 0.000000
## 32055 NorthAmerica <=50K 0.000000 0.000000
## 32056 NorthAmerica <=50K 0.000000 0.000000
## 32060 NorthAmerica <=50K 0.000000 0.000000
## 32066 NorthAmerica <=50K 0.000000 0.000000
## 32075 Europe <=50K 0.000000 0.000000
## 32079 NorthAmerica <=50K 0.000000 0.000000
## 32080 NorthAmerica >50K 0.000000 0.000000
## 32083 NorthAmerica <=50K 0.000000 0.000000
## 32085 NorthAmerica >50K 0.000000 0.000000
## 32087 NorthAmerica <=50K 0.000000 0.000000
## 32089 NorthAmerica <=50K 0.000000 0.000000
## 32090 NorthAmerica <=50K 0.000000 0.000000
## 32093 NorthAmerica >50K 0.000000 7.543273
## 32107 NorthAmerica <=50K 0.000000 0.000000
## 32114 NorthAmerica <=50K 0.000000 0.000000
## 32115 NorthAmerica >50K 0.000000 0.000000
## 32118 NorthAmerica >50K 0.000000 0.000000
## 32124 NorthAmerica >50K 9.514216 0.000000
## 32126 NorthAmerica >50K 0.000000 0.000000
## 32131 NorthAmerica >50K 0.000000 0.000000
## 32134 NorthAmerica >50K 0.000000 0.000000
## 32136 NorthAmerica >50K 0.000000 7.722678
## 32137 NorthAmerica <=50K 0.000000 0.000000
## 32140 NorthAmerica >50K 9.617471 0.000000
## 32142 Europe <=50K 0.000000 0.000000
## 32153 NorthAmerica <=50K 0.000000 0.000000
## 32155 NorthAmerica <=50K 0.000000 0.000000
## 32159 NorthAmerica <=50K 0.000000 0.000000
## 32161 NorthAmerica <=50K 0.000000 0.000000
## 32166 NorthAmerica <=50K 0.000000 0.000000
## 32167 NorthAmerica <=50K 0.000000 0.000000
## 32174 NorthAmerica >50K 0.000000 0.000000
## 32180 NorthAmerica >50K 8.552367 0.000000
## 32181 NorthAmerica <=50K 0.000000 0.000000
## 32189 NorthAmerica <=50K 0.000000 0.000000
## 32193 NorthAmerica <=50K 0.000000 0.000000
## 32215 CentrAmerica >50K 0.000000 0.000000
## 32216 NorthAmerica <=50K 0.000000 0.000000
## 32217 NorthAmerica >50K 0.000000 7.551187
## 32218 NorthAmerica <=50K 0.000000 0.000000
## 32225 NorthAmerica <=50K 0.000000 0.000000
## 32226 NorthAmerica <=50K 0.000000 0.000000
## 32230 CentrAmerica <=50K 0.000000 0.000000
## 32234 NorthAmerica <=50K 0.000000 0.000000
## 32239 NorthAmerica >50K 11.512925 0.000000
## 32240 NorthAmerica <=50K 0.000000 0.000000
## 32243 EAsia <=50K 0.000000 0.000000
## 32247 NorthAmerica >50K 0.000000 0.000000
## 32249 NorthAmerica <=50K 0.000000 0.000000
## 32251 NorthAmerica >50K 0.000000 7.589842
## 32255 CentrAmerica >50K 0.000000 7.303843
## 32259 NorthAmerica >50K 0.000000 0.000000
## 32262 NorthAmerica <=50K 0.000000 0.000000
## 32266 NorthAmerica >50K 0.000000 0.000000
## 32287 NorthAmerica <=50K 0.000000 0.000000
## 32288 NorthAmerica >50K 0.000000 0.000000
## 32292 NorthAmerica <=50K 0.000000 0.000000
## 32308 CentrAmerica >50K 0.000000 7.589842
## 32310 NorthAmerica <=50K 0.000000 0.000000
## 32318 NorthAmerica <=50K 0.000000 0.000000
## 32320 NorthAmerica <=50K 0.000000 0.000000
## 32321 NorthAmerica <=50K 0.000000 0.000000
## 32326 NorthAmerica <=50K 0.000000 0.000000
## 32333 NorthAmerica <=50K 0.000000 0.000000
## 32335 NorthAmerica <=50K 0.000000 0.000000
## 32338 Europe <=50K 0.000000 0.000000
## 32341 NorthAmerica <=50K 0.000000 0.000000
## 32343 NorthAmerica <=50K 0.000000 0.000000
## 32352 NorthAmerica <=50K 0.000000 0.000000
## 32357 NorthAmerica <=50K 0.000000 0.000000
## 32365 NorthAmerica <=50K 0.000000 0.000000
## 32374 NorthAmerica <=50K 0.000000 0.000000
## 32387 NorthAmerica >50K 0.000000 0.000000
## 32396 NorthAmerica <=50K 0.000000 0.000000
## 32399 NorthAmerica <=50K 0.000000 0.000000
## 32413 NorthAmerica <=50K 0.000000 0.000000
## 32421 NorthAmerica <=50K 0.000000 0.000000
## 32426 NorthAmerica <=50K 0.000000 0.000000
## 32428 NorthAmerica <=50K 0.000000 0.000000
## 32431 NorthAmerica <=50K 0.000000 0.000000
## 32435 NorthAmerica <=50K 8.915164 0.000000
## 32436 NorthAmerica <=50K 0.000000 0.000000
## 32438 NorthAmerica <=50K 0.000000 0.000000
## 32440 NorthAmerica <=50K 0.000000 0.000000
## 32443 NorthAmerica <=50K 0.000000 0.000000
## 32456 NorthAmerica >50K 0.000000 0.000000
## 32461 NorthAmerica <=50K 0.000000 0.000000
## 32472 NorthAmerica <=50K 0.000000 0.000000
## 32475 NorthAmerica >50K 0.000000 0.000000
## 32478 NorthAmerica <=50K 0.000000 0.000000
## 32479 NorthAmerica <=50K 0.000000 0.000000
## 32485 NorthAmerica <=50K 0.000000 0.000000
## 32491 NorthAmerica <=50K 0.000000 0.000000
## 32502 NorthAmerica <=50K 0.000000 0.000000
## 32508 NorthAmerica <=50K 0.000000 0.000000
## 32513 NorthAmerica <=50K 0.000000 0.000000
## 32518 NorthAmerica <=50K 0.000000 0.000000
## 32520 NorthAmerica >50K 0.000000 0.000000
## 32522 NorthAmerica <=50K 0.000000 0.000000
## 32525 NorthAmerica <=50K 0.000000 0.000000
## 32526 CentrAmerica <=50K 0.000000 0.000000
## 32535 NorthAmerica <=50K 0.000000 0.000000
## 32550 NorthAmerica <=50K 0.000000 0.000000
## 32558 NorthAmerica >50K 0.000000 0.000000
# For continuous check
index <- sample(1:nrow(adult_dum), size = round(nrow(adult_dum) * 0.8))
# Splitting
training_set_LR <- adult_dum[index, ]
testing_set_LR <- adult_dum[-index, ]
#Outliers removed
index <- sample(1:nrow(adult.out), size = round(nrow(adult.out) * 0.8))
# Splitting
training_set_out <- adult.out[index, ]
testing_set_out <- adult.out[-index, ]
# Fit a logistic regression model
model3 <- glm(income ~ ., data = training_set, family = binomial)
# Confidence interval
# confint(model3)
# Summarize the final selected model
summary(model3)
##
## Call:
## glm(formula = income ~ ., family = binomial, data = training_set)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -21.898954 225.382927 -0.097 0.922597
## age 0.025339 0.001783 14.209 < 2e-16 ***
## workclassFedGov 13.556320 225.382382 0.060 0.952038
## workclassLocGov 12.854092 225.382372 0.057 0.954519
## workclassNeverWorked -10.624244 288.906847 -0.037 0.970665
## workclassPrivate 13.038526 225.382363 0.058 0.953868
## workclassSelfEmpInc 13.292266 225.382379 0.059 0.952971
## workclassSelfEmpNotInc 12.567980 225.382370 0.056 0.955531
## workclassStateGov 12.802172 225.382381 0.057 0.954703
## education_levelhighsch -0.129442 0.067633 -1.914 0.055635 .
## education_levelmaster 0.166800 0.124686 1.338 0.180973
## education_levelno_edu -10.219102 115.190388 -0.089 0.929309
## education_levelphd 0.208181 0.220107 0.946 0.344241
## education_levelprimary 0.064266 0.344841 0.186 0.852158
## education_levelsecondary -0.453945 0.278697 -1.629 0.103353
## education_levelundergrad 0.069485 0.090666 0.766 0.443448
## years_education 0.252418 0.026951 9.366 < 2e-16 ***
## marital_statusmarried 0.603216 0.181376 3.326 0.000882 ***
## marital_statusnotmarried -0.543486 0.088941 -6.111 9.93e-10 ***
## marital_statuswidowed 0.069972 0.162197 0.431 0.666176
## occupationclerical 1.089924 0.155985 6.987 2.80e-12 ***
## occupationhighskill 1.636805 0.140002 11.691 < 2e-16 ***
## occupationlowskill 0.253068 0.163050 1.552 0.120640
## occupationmidskill 1.070199 0.141919 7.541 4.67e-14 ***
## occupationother 13.437870 225.382424 0.060 0.952456
## household_rolewife 1.303010 0.109743 11.873 < 2e-16 ***
## household_roletenant -0.956238 0.178110 -5.369 7.93e-08 ***
## household_rolesingle_occ -1.164939 0.198471 -5.870 4.37e-09 ***
## household_rolerelative -1.505985 0.255536 -5.893 3.78e-09 ***
## household_roledepchild -1.968558 0.219054 -8.987 < 2e-16 ***
## racewhite 0.282146 0.280508 1.006 0.314493
## raceblack 0.242802 0.289683 0.838 0.401937
## racenative -0.141462 0.366415 -0.386 0.699445
## raceAsian_Pac_Islander 0.347761 0.314142 1.107 0.268285
## gendermale 0.809518 0.082954 9.759 < 2e-16 ***
## hours_per_week 0.030392 0.001767 17.204 < 2e-16 ***
## native_regionEAsia 0.376252 0.229222 1.641 0.100709
## native_regionEurope 0.449932 0.183403 2.453 0.014158 *
## native_regionNorthAmerica 0.438229 0.122056 3.590 0.000330 ***
## native_regionSAsia -0.050890 0.304402 -0.167 0.867228
## native_regionSouthAmerica -0.706212 0.347370 -2.033 0.042050 *
## native_regionUSTerritory -0.158507 0.416619 -0.380 0.703603
## capital_gain_log 0.211433 0.007256 29.141 < 2e-16 ***
## capital_loss_log 0.155426 0.010570 14.704 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28679 on 26049 degrees of freedom
## Residual deviance: 17139 on 26006 degrees of freedom
## AIC: 17227
##
## Number of Fisher Scoring iterations: 13
# Check for multicollinearity
vif(model3)
## GVIF Df GVIF^(1/(2*Df))
## age 1.262791e+00 1 1.123740
## workclass 5.746624e+06 7 3.039591
## education_level 1.174382e+01 7 1.192381
## years_education 1.067439e+01 1 3.267169
## marital_status 1.891728e+01 3 1.632337
## occupation 7.379591e+06 5 4.861869
## household_role 4.229618e+01 5 1.454220
## race 2.304074e+00 4 1.109972
## gender 2.791612e+00 1 1.670812
## hours_per_week 1.137054e+00 1 1.066328
## native_region 2.295988e+00 6 1.071719
## capital_gain_log 1.031097e+00 1 1.015429
## capital_loss_log 1.012801e+00 1 1.006380
# Perform Hosmer-Lemeshow goodness of fit test
# Note: A p-value less than 0.05 typically suggests that the model does not fit the data well.
hoslem.test(training_set$income, fitted(model3))
##
## Hosmer and Lemeshow goodness of fit (GOF) test
##
## data: training_set$income, fitted(model3)
## X-squared = 26050, df = 8, p-value < 2.2e-16
# hoslem.test(training_set_LR$income, fitted(model4)) # dummied variables - test comparison
# Make predictions
probabilities <- model3 %>% predict(testing_set, type = "response")
predicted.classes <- ifelse(probabilities > 0.26, ">50K", "<=50K")
# Model accuracy
accuracy <- mean(predicted.classes==testing_set$income)
# confusion matrix
tb <- table(predicted.classes, testing_set$income)
tb
##
## predicted.classes <=50K >50K
## <=50K 3947 306
## >50K 962 1297
# Calculate Sensitivity (True Positive Rate)
sensitivity <- tb[2, 2] / (tb[2, 2] + tb[1, 2])
# Calculate Specificity (True Negative Rate)
specificity <- tb[1, 1] / (tb[1, 1] + tb[2, 1])
# Calculate Prevalence
prevalence <- (tb[1, 2] + tb[2, 2]) / sum(tb)
# Calculate PPV (Positive Predictive Value)
ppv <- tb[2, 2] / (tb[2, 2] + tb[2, 1])
# Calculate NPV (Negative Predictive Value)
npv <- tb[1, 1] / (tb[1, 1] + tb[1, 2])
# Calculate AUROC
roc_obj <- roc(testing_set$income, probabilities)
## Setting levels: control = <=50K, case = >50K
## Setting direction: controls < cases
auroc <- auc(roc_obj)
# Print the metrics
cat("accuracy:", accuracy, "\n")
## accuracy: 0.8052826
cat("Sensitivity:", sensitivity, "\n")
## Sensitivity: 0.8091079
cat("Specificity:", specificity, "\n")
## Specificity: 0.8040334
cat("Prevalence:", prevalence, "\n")
## Prevalence: 0.2461609
cat("PPV:", ppv, "\n")
## PPV: 0.5741479
cat("NPV:", npv, "\n")
## NPV: 0.9280508
cat("AUROC:", auroc, "\n")
## AUROC: 0.8945609
################## glm test with influential outliers removed ##############################
cat("\n\n----------------influential outliers removed--------------\n\n")
##
##
## ----------------influential outliers removed--------------
# Fit a logistic regression model
model4 <- glm(income ~ ., data = training_set_out, family = binomial)
# Confidence interval
# confint(model3)
# Summarize the final selected model
summary(model4)
##
## Call:
## glm(formula = income ~ ., family = binomial, data = training_set_out)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -21.572497 254.007563 -0.085 0.932318
## age 0.025650 0.001782 14.398 < 2e-16 ***
## workclassFedGov 12.887309 254.007043 0.051 0.959536
## workclassLocGov 12.148596 254.007034 0.048 0.961853
## workclassNeverWorked -10.624428 290.331209 -0.037 0.970809
## workclassPrivate 12.327726 254.007025 0.049 0.961291
## workclassSelfEmpInc 12.534293 254.007040 0.049 0.960643
## workclassSelfEmpNotInc 11.863703 254.007032 0.047 0.962747
## workclassStateGov 12.048909 254.007042 0.047 0.962166
## education_levelhighsch -0.118089 0.067521 -1.749 0.080304 .
## education_levelmaster 0.221801 0.124468 1.782 0.074751 .
## education_levelno_edu -10.423748 115.347362 -0.090 0.927995
## education_levelphd 0.369327 0.218568 1.690 0.091075 .
## education_levelprimary 0.036119 0.344656 0.105 0.916536
## education_levelsecondary -0.387754 0.280117 -1.384 0.166280
## education_levelundergrad 0.077482 0.090763 0.854 0.393289
## years_education 0.253812 0.026904 9.434 < 2e-16 ***
## marital_statusmarried 0.781869 0.180984 4.320 1.56e-05 ***
## marital_statusnotmarried -0.455434 0.089140 -5.109 3.24e-07 ***
## marital_statuswidowed 0.201669 0.160488 1.257 0.208898
## occupationclerical 0.911643 0.151997 5.998 2.00e-09 ***
## occupationhighskill 1.502355 0.135967 11.049 < 2e-16 ***
## occupationlowskill 0.130073 0.158943 0.818 0.413152
## occupationmidskill 0.910502 0.137907 6.602 4.05e-11 ***
## occupationother 12.576305 254.007078 0.050 0.960512
## household_rolewife 1.290261 0.109616 11.771 < 2e-16 ***
## household_roletenant -0.830681 0.176768 -4.699 2.61e-06 ***
## household_rolesingle_occ -1.146927 0.198584 -5.776 7.67e-09 ***
## household_rolerelative -1.207740 0.233052 -5.182 2.19e-07 ***
## household_roledepchild -1.972228 0.222809 -8.852 < 2e-16 ***
## racewhite 0.591075 0.300803 1.965 0.049416 *
## raceblack 0.548002 0.309083 1.773 0.076230 .
## racenative -0.037869 0.385320 -0.098 0.921711
## raceAsian_Pac_Islander 0.845747 0.331458 2.552 0.010723 *
## gendermale 0.804968 0.082804 9.721 < 2e-16 ***
## hours_per_week 0.030229 0.001774 17.040 < 2e-16 ***
## native_regionEAsia 0.175254 0.230713 0.760 0.447483
## native_regionEurope 0.543644 0.186354 2.917 0.003531 **
## native_regionNorthAmerica 0.460419 0.122350 3.763 0.000168 ***
## native_regionSAsia -0.239784 0.288012 -0.833 0.405100
## native_regionSouthAmerica -0.701492 0.331371 -2.117 0.034265 *
## native_regionUSTerritory -0.239327 0.432480 -0.553 0.580002
## capital_gain_log 0.208900 0.007213 28.961 < 2e-16 ***
## capital_loss_log 0.144352 0.010457 13.804 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28594 on 26037 degrees of freedom
## Residual deviance: 17146 on 25994 degrees of freedom
## AIC: 17234
##
## Number of Fisher Scoring iterations: 13
# Check for multicollinearity
vif(model4)
## GVIF Df GVIF^(1/(2*Df))
## age 1.272281e+00 1 1.127955
## workclass 7.483914e+06 7 3.097485
## education_level 1.182340e+01 7 1.192956
## years_education 1.069836e+01 1 3.270834
## marital_status 1.904703e+01 3 1.634198
## occupation 9.493631e+06 5 4.985896
## household_role 4.185563e+01 5 1.452698
## race 2.336804e+00 4 1.111931
## gender 2.797420e+00 1 1.672549
## hours_per_week 1.134154e+00 1 1.064966
## native_region 2.335193e+00 6 1.073232
## capital_gain_log 1.031773e+00 1 1.015762
## capital_loss_log 1.013270e+00 1 1.006613
# Perform Hosmer-Lemeshow goodness of fit test
# Note: A p-value less than 0.05 typically suggests that the model does not fit the data well.
hoslem.test(training_set_out$income, fitted(model4))
##
## Hosmer and Lemeshow goodness of fit (GOF) test
##
## data: training_set_out$income, fitted(model4)
## X-squared = 26038, df = 8, p-value < 2.2e-16
# hoslem.test(training_set_LR$income, fitted(model4)) # dummied variables - test comparison
# Make predictions
probabilities2 <- model4 %>% predict(testing_set_out, type = "response")
predicted.classes2 <- ifelse(probabilities2 > 0.275, ">50K", "<=50K")
# Model accuracy
accuracy2 <- mean(predicted.classes2==testing_set_out$income)
# confusion matrix
tb2 <- table(predicted.classes2, testing_set_out$income)
tb2
##
## predicted.classes2 <=50K >50K
## <=50K 4018 296
## >50K 869 1326
# Calculate Sensitivity (True Positive Rate)
sensitivity2 <- tb2[2, 2] / (tb2[2, 2] + tb2[1, 2])
# Calculate Specificity (True Negative Rate)
specificity2 <- tb2[1, 1] / (tb2[1, 1] + tb2[2, 1])
# Calculate Prevalence
prevalence2 <- (tb2[1, 2] + tb2[2, 2]) / sum(tb2)
# Calculate PPV (Positive Predictive Value)
ppv2 <- tb2[2, 2] / (tb2[2, 2] + tb2[2, 1])
# Calculate NPV (Negative Predictive Value)
npv2 <- tb2[1, 1] / (tb2[1, 1] + tb2[1, 2])
# Calculate AUROC
roc_obj2 <- roc(testing_set_out$income, probabilities2)
## Setting levels: control = <=50K, case = >50K
## Setting direction: controls < cases
auroc2 <- auc(roc_obj2)
# Print the metrics
cat("accuracy:", accuracy2, "\n")
## accuracy: 0.8210171
cat("Sensitivity:", sensitivity2, "\n")
## Sensitivity: 0.8175092
cat("Specificity:", specificity2, "\n")
## Specificity: 0.8221813
cat("Prevalence:", prevalence2, "\n")
## Prevalence: 0.2491934
cat("PPV:", ppv2, "\n")
## PPV: 0.6041002
cat("NPV:", npv2, "\n")
## NPV: 0.9313862
cat("AUROC:", auroc2, "\n")
## AUROC: 0.9043508
# full with outliers
pred_full <- prediction(probabilities, testing_set$income)
pred_full_per <- performance(pred_full, measure = "tpr", x.measure = "fpr")
mod1_pred <- data.frame(FP = pred_full_per@x.values[[1]], TP = pred_full_per@y.values[[1]])
# full without outliers
pred_full_Out <- prediction(probabilities2, testing_set_out$income)
pred_full_per2 <- performance(pred_full_Out, measure = "tpr", x.measure = "fpr")
mod2_pred <- data.frame(FP = pred_full_per2@x.values[[1]], TP = pred_full_per2@y.values[[1]])
# plot ROC curve for logistic regression
g <- ggplot() +
geom_line(data = mod1_pred, aes(x = FP, y = TP, color = 'Full With Outliers')) +
geom_line(data = mod2_pred, aes(x = FP, y = TP, color = 'Full Without Outliers')) +
geom_segment(aes(x = 0, xend = 1, y = 0, yend = 1)) +
ggtitle('ROC Curve') +
labs(x = 'False Positive Rate', y = 'True Positive Rate')
g + scale_colour_manual(name = 'Classifier', values = c('Full With Outliers'='#E69F00',
'Full Without Outliers'='#56B4E9'))
######## Base test with all Categorical variables changed to Dummies/Continuous ##########
cat("\n\n----------------Variables changed to Continuous Dummies--------------\n\n")
##
##
## ----------------Variables changed to Continuous Dummies--------------
# Fit a logistic regression model
model5 <- glm(income ~ ., data = training_set_LR, family = binomial)
# Confidence interval
# confint(model3)
# Summarize the final selected model
summary(model5)
##
## Call:
## glm(formula = income ~ ., family = binomial, data = training_set_LR)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -3.949965 0.275608 -14.332 < 2e-16 ***
## age 0.020252 0.001552 13.050 < 2e-16 ***
## workclass_num -0.034872 0.013227 -2.636 0.00838 **
## education_level_num 0.009517 0.007970 1.194 0.23240
## years_education 0.328684 0.010046 32.719 < 2e-16 ***
## marital_status_num -0.213962 0.033255 -6.434 1.24e-10 ***
## occupation_num -0.102148 0.017163 -5.952 2.65e-09 ***
## household_role_num -0.860918 0.022230 -38.727 < 2e-16 ***
## race_num -0.048769 0.031856 -1.531 0.12578
## gender_num -0.093611 0.057535 -1.627 0.10374
## hours_per_week 0.027728 0.001642 16.890 < 2e-16 ***
## native_region_num 0.016371 0.031068 0.527 0.59824
## capital_gain_log 0.199255 0.006884 28.943 < 2e-16 ***
## capital_loss_log 0.151495 0.009959 15.212 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28723 on 26049 degrees of freedom
## Residual deviance: 18580 on 26036 degrees of freedom
## AIC: 18608
##
## Number of Fisher Scoring iterations: 6
# Check for multicollinearity
vif(model5)
## age workclass_num education_level_num years_education
## 1.063026 1.101114 1.506080 1.595790
## marital_status_num occupation_num household_role_num race_num
## 1.028023 1.201923 1.634901 1.059181
## gender_num hours_per_week native_region_num capital_gain_log
## 1.646428 1.071907 1.058778 1.019891
## capital_loss_log
## 1.008746
# Perform Hosmer-Lemeshow goodness of fit test
# Note: A p-value less than 0.05 typically suggests that the model does not fit the data well.
#hoslem.test(training_set$income, fitted(model5))
# hoslem.test(training_set_LR$income, fitted(model4)) # dummied variables - test comparison
# Make predictions
probabilities <- model5 %>% predict(testing_set_LR, type = "response")
predicted.classes2 <- ifelse(probabilities > 0.27, "1", "0")
# Model accuracy
accuracy <- mean(predicted.classes2==testing_set_LR$income)
# confusion matrix
tb <- table(predicted.classes2, testing_set_LR$income)
tb
##
## predicted.classes2 0 1
## 0 3937 299
## 1 991 1285
# Calculate Sensitivity (True Positive Rate)
sensitivity <- tb[2, 2] / (tb[2, 2] + tb[1, 2])
# Calculate Specificity (True Negative Rate)
specificity <- tb[1, 1] / (tb[1, 1] + tb[2, 1])
# Calculate Prevalence
prevalence <- (tb[1, 2] + tb[2, 2]) / sum(tb)
# Calculate PPV (Positive Predictive Value)
ppv <- tb[2, 2] / (tb[2, 2] + tb[2, 1])
# Calculate NPV (Negative Predictive Value)
npv <- tb[1, 1] / (tb[1, 1] + tb[1, 2])
# Calculate AUROC
roc_obj <- roc(testing_set_LR$income, probabilities)
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
auroc <- auc(roc_obj)
# Print the metrics
cat("accuracy:", accuracy, "\n")
## accuracy: 0.8019042
cat("Sensitivity:", sensitivity, "\n")
## Sensitivity: 0.8112374
cat("Specificity:", specificity, "\n")
## Specificity: 0.7989042
cat("Prevalence:", prevalence, "\n")
## Prevalence: 0.2432432
cat("PPV:", ppv, "\n")
## PPV: 0.564587
cat("NPV:", npv, "\n")
## NPV: 0.9294145
cat("AUROC:", auroc, "\n")
## AUROC: 0.8876979
An OR of x suggests that with each additional year of (the variable), the odds of the outcome occurring increase by approximately ((OR -1)*100) all other variables remaining constant. or if it has a reference variable…compared to the reference variable.
summary(model4)
##
## Call:
## glm(formula = income ~ ., family = binomial, data = training_set_out)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -21.572497 254.007563 -0.085 0.932318
## age 0.025650 0.001782 14.398 < 2e-16 ***
## workclassFedGov 12.887309 254.007043 0.051 0.959536
## workclassLocGov 12.148596 254.007034 0.048 0.961853
## workclassNeverWorked -10.624428 290.331209 -0.037 0.970809
## workclassPrivate 12.327726 254.007025 0.049 0.961291
## workclassSelfEmpInc 12.534293 254.007040 0.049 0.960643
## workclassSelfEmpNotInc 11.863703 254.007032 0.047 0.962747
## workclassStateGov 12.048909 254.007042 0.047 0.962166
## education_levelhighsch -0.118089 0.067521 -1.749 0.080304 .
## education_levelmaster 0.221801 0.124468 1.782 0.074751 .
## education_levelno_edu -10.423748 115.347362 -0.090 0.927995
## education_levelphd 0.369327 0.218568 1.690 0.091075 .
## education_levelprimary 0.036119 0.344656 0.105 0.916536
## education_levelsecondary -0.387754 0.280117 -1.384 0.166280
## education_levelundergrad 0.077482 0.090763 0.854 0.393289
## years_education 0.253812 0.026904 9.434 < 2e-16 ***
## marital_statusmarried 0.781869 0.180984 4.320 1.56e-05 ***
## marital_statusnotmarried -0.455434 0.089140 -5.109 3.24e-07 ***
## marital_statuswidowed 0.201669 0.160488 1.257 0.208898
## occupationclerical 0.911643 0.151997 5.998 2.00e-09 ***
## occupationhighskill 1.502355 0.135967 11.049 < 2e-16 ***
## occupationlowskill 0.130073 0.158943 0.818 0.413152
## occupationmidskill 0.910502 0.137907 6.602 4.05e-11 ***
## occupationother 12.576305 254.007078 0.050 0.960512
## household_rolewife 1.290261 0.109616 11.771 < 2e-16 ***
## household_roletenant -0.830681 0.176768 -4.699 2.61e-06 ***
## household_rolesingle_occ -1.146927 0.198584 -5.776 7.67e-09 ***
## household_rolerelative -1.207740 0.233052 -5.182 2.19e-07 ***
## household_roledepchild -1.972228 0.222809 -8.852 < 2e-16 ***
## racewhite 0.591075 0.300803 1.965 0.049416 *
## raceblack 0.548002 0.309083 1.773 0.076230 .
## racenative -0.037869 0.385320 -0.098 0.921711
## raceAsian_Pac_Islander 0.845747 0.331458 2.552 0.010723 *
## gendermale 0.804968 0.082804 9.721 < 2e-16 ***
## hours_per_week 0.030229 0.001774 17.040 < 2e-16 ***
## native_regionEAsia 0.175254 0.230713 0.760 0.447483
## native_regionEurope 0.543644 0.186354 2.917 0.003531 **
## native_regionNorthAmerica 0.460419 0.122350 3.763 0.000168 ***
## native_regionSAsia -0.239784 0.288012 -0.833 0.405100
## native_regionSouthAmerica -0.701492 0.331371 -2.117 0.034265 *
## native_regionUSTerritory -0.239327 0.432480 -0.553 0.580002
## capital_gain_log 0.208900 0.007213 28.961 < 2e-16 ***
## capital_loss_log 0.144352 0.010457 13.804 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28594 on 26037 degrees of freedom
## Residual deviance: 17146 on 25994 degrees of freedom
## AIC: 17234
##
## Number of Fisher Scoring iterations: 13
# Calculate Odds Ratios and 90% Confidence Intervals
odds_ratios <- exp(coef(model4))
conf_int <- exp(confint(model4, level = 0.95))
## Waiting for profiling to be done...
# Identify significant predictors at the 0.05 level
significant_predictors <- summary(model4)$coefficients[, 4] < 0.05
# Extract Odds Ratios and Confidence Intervals for significant predictors
# Note: Use names() to match significant predictors by name
significant_or_ci <- data.frame(
OddsRatio = odds_ratios[significant_predictors],
LowerCI = conf_int[names(odds_ratios)[significant_predictors], 1],
UpperCI = conf_int[names(odds_ratios)[significant_predictors], 2]
)
significant_or_ci
## OddsRatio LowerCI UpperCI
## age 1.0259819 1.02241006 1.0295756
## years_education 1.2889299 1.22321054 1.3592773
## marital_statusmarried 2.1855539 1.52215528 3.0966740
## marital_statusnotmarried 0.6341729 0.53249204 0.7552620
## occupationclerical 2.4884069 1.85387637 3.3651739
## occupationhighskill 4.4922577 3.45714650 5.8934846
## occupationmidskill 2.4855707 1.90549327 3.2731010
## household_rolewife 3.6337365 2.93261839 4.5070367
## household_roletenant 0.4357524 0.30589595 0.6121163
## household_rolesingle_occ 0.3176113 0.21370898 0.4657357
## household_rolerelative 0.2988719 0.18616853 0.4651031
## household_roledepchild 0.1391465 0.08895833 0.2132226
## racewhite 1.8059290 1.02752536 3.3547799
## raceAsian_Pac_Islander 2.3297182 1.24155509 4.5706561
## gendermale 2.2366252 1.90280305 2.6326549
## hours_per_week 1.0306901 1.02712050 1.0342885
## native_regionEurope 1.7222709 1.19489707 2.4813807
## native_regionNorthAmerica 1.5847386 1.24956523 2.0189561
## native_regionSouthAmerica 0.4958451 0.25477575 0.9363712
## capital_gain_log 1.2323223 1.21510591 1.2499571
## capital_loss_log 1.1552901 1.13189335 1.1792630
age: An odds ratio (OR) of 1.02560964 means that with each additional year of age, the odds of the outcome occurring increase by approximately 2.56%. The calculation is ((OR - 1) = (1.02560964 - 1) = 2.56%). similar_pop_count: An OR of 1.00000063 indicates an extremely small increase in odds with each unit increase in similar population count. The effect is so small it’s practically negligible. years_education: An OR of 1.27846414 suggests that with each additional year of education, the odds of the outcome occurring increase by 27.85%. The calculation is ((1.27846414 - 1) = 27.85%). marital_statusmarried: An OR of 1.83198084 means that being married is associated with an 83.20% increase in the odds of the outcome occurring compared to not being married. marital_statusnotmarried: An OR of 0.55312175 indicates that not being married is associated with a 44.69% decrease in the odds of the outcome occurring compared to being married. The calculation is ((1 - 0.55312175) = 44.69%). occupationclerical: An OR of 2.73417509 suggests that being in a clerical occupation is associated with a 173.42% increase in the odds of the outcome occurring compared to not being in this occupation. occupationhighskill: An OR of 4.87181987 indicates that being in a high-skill occupation is associated with a 387.18% increase in the odds of the outcome occurring compared to not being in this occupation. occupationmidskill: An OR of 2.61052015 means that being in a mid-skill occupation is associated with a 161.05% increase in the odds of the outcome occurring compared to not being in this occupation. household_rolewife: An OR of 4.11794882 suggests that being the wife in a household is associated with a 311.79% increase in the odds of the outcome occurring compared to not being the wife. household_roletenant: An OR of 0.34585959 indicates that being a tenant is associated with a 65.41% decrease in the odds of the outcome occurring compared to not being a tenant. household_rolesingle_occ: An OR of 0.29151166 means that being a single occupant is associated with a 70.85% decrease in the odds of the outcome occurring compared to not being a single occupant. household_rolerelative: An OR of 0.23532074 suggests that being a relative in a household is associated with a 76.47% decrease in the odds of the outcome occurring compared to not being a relative. household_roledepchild: An OR of 0.11687608 indicates that being a dependent child is associated with an 88.31% decrease in the odds of the outcome occurring compared to not being a dependent child. gendermale: An OR of 2.45071926 means that being male is associated with a 145.07% increase in the odds of the outcome occurring compared to not being male. capital_gain: An OR of 1.00097874 suggests a very slight increase in the odds of the outcome occurring with each unit increase in capital gain. capital_loss: An OR of 1.00246863 indicates a slight increase in the odds of the outcome occurring with each unit increase in capital loss. hours_per_week: An OR of 1.02929197 means that with each additional hour worked per week, the odds of the outcome occurring increase by approximately 2.93%. native_countrySouthAmerica: An OR of 0.19791245 suggests that being from South America is associated with an 80.21% decrease in the odds of the outcome occurring compared to not being from South America. investedInvested: An OR of 0.02628912 indicates that having invested is associated with a 97.37% decrease in the odds of the outcome occurring compared to not having invested.
Drop for code or run testing_set as well:
# Get the original variable names (excluding the response variable)
original_vars <- setdiff(names(training_set), "income")
# Summary of the full model
summary_full <- summary(model3)
# Extracting significant variables
significant_vars <- summary_full$coefficients[summary_full$coefficients[, "Pr(>|z|)"] < 0.05, ]
significant_vars_names <- rownames(significant_vars)
# Initialize an empty string to build the new formula
new_formula <- "income ~ "
# Create a list to keep track of which categorical variables have all non-reference levels significant
all_levels_significant <- list()
# Loop through each original variable to check if all non-reference levels are significant
for(original_var in original_vars) {
# Get all non-reference levels of the categorical variable
levels <- levels(training_set[[original_var]])[-1] # Exclude the first level which is the reference
# Check if all non-reference levels are significant
all_significant <- all(sapply(levels, function(lvl) paste0(original_var, lvl) %in% significant_vars_names))
# Store the result
all_levels_significant[[original_var]] <- all_significant
}
# Loop through each significant variable
for(var in significant_vars_names) {
# Initialize new_var_expr
new_var_expr <- var
# Check if var is a level of an original variable
for(original_var in original_vars) {
if(grepl(original_var, var)) {
# Check if all non-reference levels of the variable are significant
if(all_levels_significant[[original_var]]) {
# If all non-reference levels are significant, use the original variable name
new_var_expr <- original_var
} else {
# If not all levels are significant, construct the new variable expression
level <- gsub(paste0("^", original_var), "", var)
if(nchar(level) > 0) {
new_var_expr <- paste0("(training_set$", original_var, " == '", level, "')")
}
}
# Ensure only the condition is added to the formula, not the logical result
new_formula <- paste(new_formula, new_var_expr, sep = " + ")
break
}
}
}
# Remove the trailing " + " if present
new_formula <- sub(" \\+ $", "", new_formula)
# Convert the string to a formula
new_formula <- as.formula(new_formula)
# Fit the reduced model
reduced_model <- glm(new_formula, data = training_set, family = binomial)
summary(reduced_model)
##
## Call:
## glm(formula = new_formula, family = binomial, data = training_set)
##
## Coefficients:
## Estimate Std. Error z value
## (Intercept) -8.592742 0.276551 -31.071
## age 0.024959 0.001698 14.696
## years_education 0.291422 0.009366 31.115
## training_set$marital_status == "married"TRUE 0.578213 0.179589 3.220
## training_set$marital_status == "notmarried"TRUE -0.545503 0.086698 -6.292
## training_set$occupation == "clerical"TRUE 0.956324 0.090291 10.592
## training_set$occupation == "highskill"TRUE 1.429749 0.067099 21.308
## training_set$occupation == "midskill"TRUE 0.850969 0.071166 11.958
## household_rolewife 1.273986 0.108689 11.721
## household_roletenant -0.969333 0.177348 -5.466
## household_rolesingle_occ -1.183018 0.197787 -5.981
## household_rolerelative -1.527496 0.255483 -5.979
## household_roledepchild -1.981139 0.218008 -9.087
## gendermale 0.801519 0.081839 9.794
## hours_per_week 0.029168 0.001702 17.136
## training_set$native_region == "Europe"TRUE 0.301314 0.162038 1.860
## training_set$native_region == "NorthAmerica"TRUE 0.280651 0.087359 3.213
## training_set$native_region == "SouthAmerica"TRUE -0.829061 0.324784 -2.553
## capital_gain_log 0.209875 0.007195 29.170
## capital_loss_log 0.155292 0.010487 14.808
## Pr(>|z|)
## (Intercept) < 2e-16 ***
## age < 2e-16 ***
## years_education < 2e-16 ***
## training_set$marital_status == "married"TRUE 0.00128 **
## training_set$marital_status == "notmarried"TRUE 3.13e-10 ***
## training_set$occupation == "clerical"TRUE < 2e-16 ***
## training_set$occupation == "highskill"TRUE < 2e-16 ***
## training_set$occupation == "midskill"TRUE < 2e-16 ***
## household_rolewife < 2e-16 ***
## household_roletenant 4.61e-08 ***
## household_rolesingle_occ 2.21e-09 ***
## household_rolerelative 2.25e-09 ***
## household_roledepchild < 2e-16 ***
## gendermale < 2e-16 ***
## hours_per_week < 2e-16 ***
## training_set$native_region == "Europe"TRUE 0.06295 .
## training_set$native_region == "NorthAmerica"TRUE 0.00132 **
## training_set$native_region == "SouthAmerica"TRUE 0.01069 *
## capital_gain_log < 2e-16 ***
## capital_loss_log < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28679 on 26049 degrees of freedom
## Residual deviance: 17282 on 26030 degrees of freedom
## AIC: 17322
##
## Number of Fisher Scoring iterations: 7
# Check for multicollinearity
vif(reduced_model)
## GVIF Df GVIF^(1/(2*Df))
## age 1.149736 1 1.072258
## years_education 1.288334 1 1.135048
## training_set$marital_status == "married" 15.822863 1 3.977796
## training_set$marital_status == "notmarried" 1.962686 1 1.400959
## training_set$occupation == "clerical" 1.720833 1 1.311805
## training_set$occupation == "highskill" 3.066719 1 1.751205
## training_set$occupation == "midskill" 2.732219 1 1.652943
## household_role 41.375352 5 1.451023
## gender 2.734712 1 1.653697
## hours_per_week 1.075219 1 1.036928
## training_set$native_region == "Europe" 1.352421 1 1.162936
## training_set$native_region == "NorthAmerica" 1.437131 1 1.198804
## training_set$native_region == "SouthAmerica" 1.069315 1 1.034077
## capital_gain_log 1.028121 1 1.013963
## capital_loss_log 1.011196 1 1.005582
# Perform Hosmer-Lemeshow goodness of fit test
# Note: A p-value less than 0.05 typically suggests that the model does not fit the data well.
hoslem.test(training_set$income, fitted(reduced_model))
## Warning in Ops.factor(1, y): '-' not meaningful for factors
##
## Hosmer and Lemeshow goodness of fit (GOF) test
##
## data: training_set$income, fitted(reduced_model)
## X-squared = 26050, df = 8, p-value < 2.2e-16
# hoslem.test(training_set_LR$income, fitted(model4)) # dummied variables - test comparison
PCA Sources: https://www.analyticsvidhya.com/blog/2021/09/pca-and-its-underlying-mathematical-principles/ # PCA full model Test: For PC1: marital_status_num and education_level have high positive loading scores, while age has a high negative loading score. These variables significantly influence PC1. For PC2: capital_gain and capital_loss are notable due to their high positive loading scores, making them important for PC2. For PC3: hours_per_week stands out with a high positive loading score, suggesting its relevance to PC3. 12 variables are needed for 90 percent.
pc.result<-prcomp(training_set_LR[,1:14],scale.=TRUE)
#Eigen Vectors
pc.result$rotation
## PC1 PC2 PC3 PC4
## age 0.31792769 -0.24271042 -0.085668117 -0.037919086
## workclass_num 0.14095051 0.23644137 0.482221275 -0.456920690
## education_level_num 0.25400994 0.36542502 -0.277883643 0.170273682
## years_education 0.28829059 0.46773963 -0.153503945 0.217183126
## marital_status_num -0.26385340 0.24020729 -0.106018694 0.218002885
## occupation_num -0.12087948 -0.53561997 -0.300610524 0.220512146
## household_role_num -0.46755145 0.28058855 -0.009975435 0.077229592
## race_num -0.05408547 0.08573615 -0.499432505 -0.463637835
## gender_num 0.27720723 -0.30470870 0.034917009 -0.046648163
## hours_per_week 0.31364444 -0.01780335 0.166271112 -0.193349505
## native_region_num 0.01103511 -0.04492601 0.492497616 0.506198227
## income 0.43606568 0.06406484 -0.124912682 0.176440226
## capital_gain_log 0.21937696 0.04870274 -0.141901146 0.263701201
## capital_loss_log 0.10974690 0.02331202 -0.032304082 -0.009081218
## PC5 PC6 PC7 PC8
## age 0.467926501 0.19904330 0.008743525 -0.33759508
## workclass_num -0.057179661 -0.16158067 -0.175456881 -0.29127317
## education_level_num -0.100478701 0.06709900 0.407871213 -0.27150733
## years_education -0.043144756 0.08381939 0.201809153 0.12521691
## marital_status_num -0.415955578 -0.20004158 -0.212501926 -0.34323098
## occupation_num -0.215156801 -0.03783706 0.079168681 0.02767957
## household_role_num -0.009597195 -0.02473937 -0.072474111 0.15434364
## race_num 0.038442710 -0.04421340 -0.072307320 0.33419466
## gender_num -0.537315285 -0.24128658 0.056132550 -0.20951621
## hours_per_week -0.299002720 -0.13009116 0.179495422 0.56154820
## native_region_num 0.063144843 0.09736785 0.066991065 0.27790315
## income -0.038539884 -0.02775040 -0.268041166 0.07445766
## capital_gain_log 0.242066306 -0.51865744 -0.554725239 0.11503255
## capital_loss_log -0.320557895 0.72410724 -0.529833511 0.04972216
## PC9 PC10 PC11 PC12
## age -0.1712540233 -0.44290764 -0.14249360 0.005664407
## workclass_num -0.1406105906 0.24246564 -0.20944436 0.429952126
## education_level_num 0.0004516579 0.10841238 -0.53072802 0.038463589
## years_education -0.0362201267 0.16926544 0.26424179 -0.009721650
## marital_status_num -0.2180700054 -0.59003152 0.05301775 0.110022992
## occupation_num 0.0132297116 0.21750395 -0.24094836 0.560220529
## household_role_num 0.1018832781 0.08066802 -0.14738982 0.033603051
## race_num -0.6312142160 0.02357549 -0.05060070 0.001417756
## gender_num -0.2086743415 0.21389541 0.09621515 -0.459243201
## hours_per_week 0.2434027022 -0.49122924 -0.25534522 0.086943289
## native_region_num -0.6120214164 0.01875721 -0.14627861 0.019668522
## income -0.0006707552 0.01110523 0.47137321 0.460398624
## capital_gain_log 0.1097644222 0.10691675 -0.35914032 -0.205106635
## capital_loss_log 0.0603218854 0.05627741 -0.22836605 -0.116472840
## PC13 PC14
## age 0.24769975 -0.389139603
## workclass_num 0.17418497 -0.016865719
## education_level_num -0.38215608 0.010452400
## years_education 0.67984989 0.002459302
## marital_status_num 0.09336407 0.136351975
## occupation_num 0.29204299 0.008597852
## household_role_num 0.01979726 -0.791638051
## race_num -0.05280795 0.025412808
## gender_num 0.02538533 -0.350480187
## hours_per_week 0.05495421 -0.077893820
## native_region_num -0.08353689 0.014101759
## income -0.42524392 -0.253469728
## capital_gain_log 0.09554074 0.087266049
## capital_loss_log 0.04770228 0.034688360
#Eigen Values
cat("\n\n----------------Eigen Values--------------\n\n")
##
##
## ----------------Eigen Values--------------
eigenvals<-pc.result$sdev^2
eigenvals
## [1] 2.5788810 1.5795207 1.2462407 1.1585182 1.0925006 1.0534715 0.8975982
## [8] 0.8427692 0.7900178 0.6649168 0.6530519 0.5406276 0.5000947 0.4017913
# Calculate cumulative proportion of variance explained
cumulative_var <- cumsum(eigenvals) / sum(eigenvals)
# Find the number of PCs needed to retain 90% of the variance
num_pcs <- which(cumulative_var >= 0.9)[1]
# number of PCs
num_pcs
## [1] 12
#Scree plot
par(mfrow=c(1,2))
plot(eigenvals,type="l",main="Scree Plot",ylab="Eigen Values",xlab="PC #")
plot(eigenvals/sum(eigenvals),type="l",main="Explained Variance",ylab = "Cumulative Proportion", xlab = "Principal Component", ylim=c(0,1))
cumulative.prop<-cumsum(eigenvals/sum(eigenvals))
lines(cumulative.prop,type = "o", lty=2)
abline(h = 0.9, col = "red", lty = 2) # Add a line at 90% variance explained
legend("topright", legend=c("Prop","Cumulative"),
lty=1:2, cex=0.8)
PCA reduced Model: PC1: household_role_num (0.49898102), invested_num (-0.38056203), age (-0.36436500) PC2: invested_num (0.5153051), capital_loss (0.4491392), years_education (0.2559078) PC3: occupation_num (0.63406086), capital_loss (0.36206738), invested_num (0.28760465)
pc.result <- prcomp(training_set_LR[, c("age", "years_education", "capital_gain_log", "capital_loss_log",
"marital_status_num", "occupation_num", "household_role_num", "gender_num",
"hours_per_week")], scale. = TRUE)
#Eigen Vectors
pc.result$rotation
## PC1 PC2 PC3 PC4 PC5
## age 0.41836270 -0.07709328 0.426940935 -0.30567639 -0.2012083
## years_education 0.18626005 0.60541833 -0.144869887 0.09823078 -0.1333000
## capital_gain_log 0.20422358 0.17537627 0.354677374 0.52931255 -0.5361262
## capital_loss_log 0.10368952 0.07191339 -0.515431855 -0.56465581 -0.5404645
## marital_status_num -0.37864274 0.04269248 -0.302994505 0.34113460 -0.3645320
## occupation_num -0.02495235 -0.67953039 -0.042899894 0.10467422 -0.2040208
## household_role_num -0.57235231 0.10998451 -0.001498099 0.02409842 0.0205287
## gender_num 0.36266056 -0.31073858 -0.420182791 0.35537690 -0.0412253
## hours_per_week 0.36703986 0.13913177 -0.367513570 0.20904956 0.4307948
## PC6 PC7 PC8 PC9
## age 0.3050613 0.26440545 0.38434985 0.438326840
## years_education 0.2800481 -0.64842898 0.20777550 0.091173745
## capital_gain_log -0.4563607 0.09310870 -0.13074328 -0.010424847
## capital_loss_log -0.3081206 0.08087859 -0.07706553 0.007086762
## marital_status_num 0.4079040 0.40887436 0.39873647 -0.145568702
## occupation_num -0.1732588 -0.51335807 0.43472751 -0.025517083
## household_role_num -0.2475375 -0.05116943 0.02893196 0.771091217
## gender_num 0.2995234 0.01350624 -0.45150464 0.416677198
## hours_per_week -0.4217985 0.24678649 0.48311422 0.096721812
#Eigen Values
cat("\n\n----------------Eigen Values--------------\n\n")
##
##
## ----------------Eigen Values--------------
eigenvals<-pc.result$sdev^2
eigenvals
## [1] 2.0923400 1.3442676 1.0788525 1.0528684 0.9107656 0.7782152 0.6995701
## [8] 0.6272387 0.4158820
# Calculate cumulative proportion of variance explained
cumulative_var <- cumsum(eigenvals) / sum(eigenvals)
# Find the number of PCs needed to retain 90% of the variance
num_pcs <- which(cumulative_var >= 0.9)[1]
# number of PCs
num_pcs
## [1] 8
#Scree plot
par(mfrow=c(1,2))
plot(eigenvals,type="l",main="Scree Plot",ylab="Eigen Values",xlab="PC #")
plot(eigenvals/sum(eigenvals),type="l",main="Explained Variance",ylab = "Cumulative Proportion", xlab = "Principal Component", ylim=c(0,1))
cumulative.prop<-cumsum(eigenvals/sum(eigenvals))
lines(cumulative.prop,type = "o", lty=2)
abline(h = 0.9, col = "red", lty = 2) # Add a line at 90% variance explained
legend("topright", legend=c("Prop","Cumulative"),
lty=1:2, cex=0.8)
library(caret)
## Loading required package: lattice
##
## Attaching package: 'caret'
## The following object is masked from 'package:purrr':
##
## lift
# change the income value names to work with glmnet (greater than sign will not run)
training_set1 <- training_set
training_set1$income <- gsub('<=50K', 'less_than_50K', training_set1$income)
training_set1$income <- gsub('>50K', 'greater_than_50K', training_set1$income)
# Convert 'income' to a factor if it's not already
training_set1$income <- as.factor(training_set1$income)
levels(training_set1$income)
## [1] "greater_than_50K" "less_than_50K"
# Ensure that train_control is set up for classification
train_control <- trainControl(method = "cv", number = 10, classProbs = TRUE, summaryFunction = twoClassSummary)
# Now, re-run the GLMNET model training
set.seed(1234)
glmnet_model <- train(
income ~ .,
data = training_set1, # Exclude the 'id_number' column
method = "glmnet",
trControl = train_control,
preProcess = c("center", "scale"), # Standardize predictors
tuneLength = 10,
metric = "ROC" # Use AUROC curve error metric
)
# Comment on which predictors were left or dropped
coef(glmnet_model$finalModel, glmnet_model$bestTune$lambda)
## 44 x 1 sparse Matrix of class "dgCMatrix"
## s1
## (Intercept) 2.1641367522
## age -0.3422553887
## workclassFedGov -0.0880720200
## workclassLocGov 0.0404181528
## workclassNeverWorked 0.0123280280
## workclassPrivate -0.0043169916
## workclassSelfEmpInc -0.0468429871
## workclassSelfEmpNotInc 0.1276348832
## workclassStateGov 0.0416790959
## education_levelhighsch 0.0640201413
## education_levelmaster -0.0369197731
## education_levelno_edu 0.0548526913
## education_levelphd -0.0226507466
## education_levelprimary .
## education_levelsecondary 0.0612676740
## education_levelundergrad -0.0267679085
## years_education -0.6447565368
## marital_statusmarried -0.3859331574
## marital_statusnotmarried 0.2550689853
## marital_statuswidowed -0.0075526885
## occupationclerical -0.2679247256
## occupationhighskill -0.6898580980
## occupationlowskill -0.0002064879
## occupationmidskill -0.3532885251
## occupationother -0.0370003551
## household_rolewife -0.2759919048
## household_roletenant 0.3390424736
## household_rolesingle_occ 0.3015901303
## household_rolerelative 0.2266473525
## household_roledepchild 0.6330061574
## racewhite -0.0172032700
## raceblack -0.0002490096
## racenative 0.0342695053
## raceAsian_Pac_Islander -0.0176469615
## gendermale -0.3756751899
## hours_per_week -0.3660032658
## native_regionEAsia -0.0436932168
## native_regionEurope -0.0530264914
## native_regionNorthAmerica -0.1128296577
## native_regionSAsia 0.0035046285
## native_regionSouthAmerica 0.0529599638
## native_regionUSTerritory 0.0111481535
## capital_gain_log -0.5150618328
## capital_loss_log -0.2431100536
library(caret)
# change the income value names to work with glmnet (greater than sign will not run)
training_set1 <- training_set_out
training_set1$income <- gsub('<=50K', 'less_than_50K', training_set1$income)
training_set1$income <- gsub('>50K', 'greater_than_50K', training_set1$income)
# Convert 'income' to a factor if it's not already
training_set1$income <- as.factor(training_set1$income)
levels(training_set1$income)
## [1] "greater_than_50K" "less_than_50K"
# Ensure that train_control is set up for classification
train_control <- trainControl(method = "cv", number = 10, classProbs = TRUE, summaryFunction = twoClassSummary)
# Now, re-run the GLMNET model training
set.seed(1234)
glmnet_model <- train(
income ~ .,
data = training_set1, # Exclude the 'id_number' column
method = "glmnet",
trControl = train_control,
preProcess = c("center", "scale"), # Standardize predictors
tuneLength = 10,
metric = "ROC" # Use AUROC curve error metric
)
# Comment on which predictors were left or dropped
coef(glmnet_model$finalModel, glmnet_model$bestTune$lambda)
## 44 x 1 sparse Matrix of class "dgCMatrix"
## s1
## (Intercept) 2.184064080
## age -0.347441900
## workclassFedGov -0.109627998
## workclassLocGov 0.020797011
## workclassNeverWorked 0.030800314
## workclassPrivate -0.041526626
## workclassSelfEmpInc -0.053836957
## workclassSelfEmpNotInc 0.102729809
## workclassStateGov 0.036123548
## education_levelhighsch 0.064365676
## education_levelmaster -0.055377282
## education_levelno_edu 0.096875513
## education_levelphd -0.046338046
## education_levelprimary 0.002533377
## education_levelsecondary 0.057945695
## education_levelundergrad -0.037033422
## years_education -0.631805846
## marital_statusmarried -0.442984394
## marital_statusnotmarried 0.216503816
## marital_statuswidowed -0.032451839
## occupationclerical -0.243704988
## occupationhighskill -0.668698245
## occupationlowskill 0.004878430
## occupationmidskill -0.326242509
## occupationother -0.044433144
## household_rolewife -0.273632402
## household_roletenant 0.312731535
## household_rolesingle_occ 0.315596833
## household_rolerelative 0.191799544
## household_roledepchild 0.656262762
## racewhite -0.145170591
## raceblack -0.107275376
## racenative 0.020114050
## raceAsian_Pac_Islander -0.115152945
## gendermale -0.375324679
## hours_per_week -0.364851553
## native_regionEAsia -0.020730825
## native_regionEurope -0.065321317
## native_regionNorthAmerica -0.121991460
## native_regionSAsia 0.016934639
## native_regionSouthAmerica 0.053613873
## native_regionUSTerritory 0.016846083
## capital_gain_log -0.510132917
## capital_loss_log -0.227234084
library(MASS)
##
## Attaching package: 'MASS'
## The following object is masked from 'package:dplyr':
##
## select
cat("\n\n--------modelFull--------\n\n") # same as model 3 (46 total variables)
##
##
## --------modelFull--------
full.model <- glm(income ~ ., data = training_set, family = binomial)
coef(full.model)
## (Intercept) age workclassFedGov
## -21.89895439 0.02533892 13.55632010
## workclassLocGov workclassNeverWorked workclassPrivate
## 12.85409218 -10.62424357 13.03852616
## workclassSelfEmpInc workclassSelfEmpNotInc workclassStateGov
## 13.29226613 12.56797972 12.80217183
## education_levelhighsch education_levelmaster education_levelno_edu
## -0.12944160 0.16680035 -10.21910205
## education_levelphd education_levelprimary education_levelsecondary
## 0.20818140 0.06426630 -0.45394455
## education_levelundergrad years_education marital_statusmarried
## 0.06948486 0.25241768 0.60321635
## marital_statusnotmarried marital_statuswidowed occupationclerical
## -0.54348582 0.06997208 1.08992395
## occupationhighskill occupationlowskill occupationmidskill
## 1.63680520 0.25306813 1.07019874
## occupationother household_rolewife household_roletenant
## 13.43787005 1.30301005 -0.95623780
## household_rolesingle_occ household_rolerelative household_roledepchild
## -1.16493905 -1.50598489 -1.96855753
## racewhite raceblack racenative
## 0.28214579 0.24280250 -0.14146165
## raceAsian_Pac_Islander gendermale hours_per_week
## 0.34776118 0.80951822 0.03039225
## native_regionEAsia native_regionEurope native_regionNorthAmerica
## 0.37625231 0.44993221 0.43822860
## native_regionSAsia native_regionSouthAmerica native_regionUSTerritory
## -0.05089006 -0.70621248 -0.15850731
## capital_gain_log capital_loss_log
## 0.21143341 0.15542604
# Make predictions
probabilities <- full.model %>% predict(testing_set, type = "response")
predicted.classes <- ifelse(probabilities > 0.24, ">50K", "<=50K")
# Prediction accuracy
observed.classes <- testing_set$income
mean(predicted.classes == observed.classes)
## [1] 0.7982187
summary(full.model)
##
## Call:
## glm(formula = income ~ ., family = binomial, data = training_set)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -21.898954 225.382927 -0.097 0.922597
## age 0.025339 0.001783 14.209 < 2e-16 ***
## workclassFedGov 13.556320 225.382382 0.060 0.952038
## workclassLocGov 12.854092 225.382372 0.057 0.954519
## workclassNeverWorked -10.624244 288.906847 -0.037 0.970665
## workclassPrivate 13.038526 225.382363 0.058 0.953868
## workclassSelfEmpInc 13.292266 225.382379 0.059 0.952971
## workclassSelfEmpNotInc 12.567980 225.382370 0.056 0.955531
## workclassStateGov 12.802172 225.382381 0.057 0.954703
## education_levelhighsch -0.129442 0.067633 -1.914 0.055635 .
## education_levelmaster 0.166800 0.124686 1.338 0.180973
## education_levelno_edu -10.219102 115.190388 -0.089 0.929309
## education_levelphd 0.208181 0.220107 0.946 0.344241
## education_levelprimary 0.064266 0.344841 0.186 0.852158
## education_levelsecondary -0.453945 0.278697 -1.629 0.103353
## education_levelundergrad 0.069485 0.090666 0.766 0.443448
## years_education 0.252418 0.026951 9.366 < 2e-16 ***
## marital_statusmarried 0.603216 0.181376 3.326 0.000882 ***
## marital_statusnotmarried -0.543486 0.088941 -6.111 9.93e-10 ***
## marital_statuswidowed 0.069972 0.162197 0.431 0.666176
## occupationclerical 1.089924 0.155985 6.987 2.80e-12 ***
## occupationhighskill 1.636805 0.140002 11.691 < 2e-16 ***
## occupationlowskill 0.253068 0.163050 1.552 0.120640
## occupationmidskill 1.070199 0.141919 7.541 4.67e-14 ***
## occupationother 13.437870 225.382424 0.060 0.952456
## household_rolewife 1.303010 0.109743 11.873 < 2e-16 ***
## household_roletenant -0.956238 0.178110 -5.369 7.93e-08 ***
## household_rolesingle_occ -1.164939 0.198471 -5.870 4.37e-09 ***
## household_rolerelative -1.505985 0.255536 -5.893 3.78e-09 ***
## household_roledepchild -1.968558 0.219054 -8.987 < 2e-16 ***
## racewhite 0.282146 0.280508 1.006 0.314493
## raceblack 0.242802 0.289683 0.838 0.401937
## racenative -0.141462 0.366415 -0.386 0.699445
## raceAsian_Pac_Islander 0.347761 0.314142 1.107 0.268285
## gendermale 0.809518 0.082954 9.759 < 2e-16 ***
## hours_per_week 0.030392 0.001767 17.204 < 2e-16 ***
## native_regionEAsia 0.376252 0.229222 1.641 0.100709
## native_regionEurope 0.449932 0.183403 2.453 0.014158 *
## native_regionNorthAmerica 0.438229 0.122056 3.590 0.000330 ***
## native_regionSAsia -0.050890 0.304402 -0.167 0.867228
## native_regionSouthAmerica -0.706212 0.347370 -2.033 0.042050 *
## native_regionUSTerritory -0.158507 0.416619 -0.380 0.703603
## capital_gain_log 0.211433 0.007256 29.141 < 2e-16 ***
## capital_loss_log 0.155426 0.010570 14.704 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28679 on 26049 degrees of freedom
## Residual deviance: 17139 on 26006 degrees of freedom
## AIC: 17227
##
## Number of Fisher Scoring iterations: 13
# confusion matrix
tb <- table(predicted.classes, testing_set$income)
tb
##
## predicted.classes <=50K >50K
## <=50K 3865 270
## >50K 1044 1333
# Model accuracy
accuracy <- mean(predicted.classes==testing_set$income)
# Calculate Sensitivity (True Positive Rate)
sensitivity <- tb[2, 2] / (tb[2, 2] + tb[1, 2])
# Calculate Specificity (True Negative Rate)
specificity <- tb[1, 1] / (tb[1, 1] + tb[2, 1])
# Calculate Prevalence
prevalence <- (tb[1, 2] + tb[2, 2]) / sum(tb)
# Calculate PPV (Positive Predictive Value)
ppv <- tb[2, 2] / (tb[2, 2] + tb[2, 1])
# Calculate NPV (Negative Predictive Value)
npv <- tb[1, 1] / (tb[1, 1] + tb[1, 2])
# Calculate AUROC
roc_obj <- roc(testing_set$income, probabilities)
## Setting levels: control = <=50K, case = >50K
## Setting direction: controls < cases
auroc <- auc(roc_obj)
# Print the metrics
cat("accuracy:", accuracy, "\n")
## accuracy: 0.7982187
cat("Sensitivity:", sensitivity, "\n")
## Sensitivity: 0.8315658
cat("Specificity:", specificity, "\n")
## Specificity: 0.7873294
cat("Prevalence:", prevalence, "\n")
## Prevalence: 0.2461609
cat("PPV:", ppv, "\n")
## PPV: 0.5607909
cat("NPV:", npv, "\n")
## NPV: 0.9347037
cat("AUROC:", auroc, "\n")
## AUROC: 0.8945609
cat("\n\n--------modelAICStep--------\n\n") # (35 variables recommended)
##
##
## --------modelAICStep--------
step.model <- full.model %>% stepAIC(trace = FALSE)
coef(step.model)
## (Intercept) age workclassFedGov
## -21.08434284 0.02554287 12.56160190
## workclassLocGov workclassNeverWorked workclassPrivate
## 11.86640918 -9.67439650 12.04888714
## workclassSelfEmpInc workclassSelfEmpNotInc workclassStateGov
## 12.30433796 11.57160446 11.81469985
## years_education marital_statusmarried marital_statusnotmarried
## 0.29291556 0.60031961 -0.54040426
## marital_statuswidowed occupationclerical occupationhighskill
## 0.06511037 1.08509161 1.63834935
## occupationlowskill occupationmidskill occupationother
## 0.24658293 1.06031774 12.43947472
## household_rolewife household_roletenant household_rolesingle_occ
## 1.29666739 -0.96119615 -1.17144784
## household_rolerelative household_roledepchild gendermale
## -1.51606155 -1.97178053 0.80968710
## hours_per_week native_regionEAsia native_regionEurope
## 0.03039783 0.43859907 0.45479671
## native_regionNorthAmerica native_regionSAsia native_regionSouthAmerica
## 0.43525709 -0.02262065 -0.68657397
## native_regionUSTerritory capital_gain_log capital_loss_log
## -0.20566146 0.21103604 0.15559172
# Make predictions
probabilities <- predict(step.model, testing_set, type = "response")
predicted.classes <- ifelse(probabilities > 0.24, ">50K", "<=50K")
# confusion matrix
tb <- table(predicted.classes, testing_set$income)
tb
##
## predicted.classes <=50K >50K
## <=50K 3856 267
## >50K 1053 1336
summary(step.model)
##
## Call:
## glm(formula = income ~ age + workclass + years_education + marital_status +
## occupation + household_role + gender + hours_per_week + native_region +
## capital_gain_log + capital_loss_log, family = binomial, data = training_set)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -21.084343 136.264936 -0.155 0.877034
## age 0.025543 0.001765 14.475 < 2e-16 ***
## workclassFedGov 12.561602 136.264582 0.092 0.926551
## workclassLocGov 11.866409 136.264565 0.087 0.930605
## workclassNeverWorked -9.674397 174.414262 -0.055 0.955766
## workclassPrivate 12.048887 136.264549 0.088 0.929541
## workclassSelfEmpInc 12.304338 136.264577 0.090 0.928051
## workclassSelfEmpNotInc 11.571604 136.264562 0.085 0.932325
## workclassStateGov 11.814700 136.264580 0.087 0.930907
## years_education 0.292916 0.009515 30.784 < 2e-16 ***
## marital_statusmarried 0.600320 0.181038 3.316 0.000913 ***
## marital_statusnotmarried -0.540404 0.088636 -6.097 1.08e-09 ***
## marital_statuswidowed 0.065110 0.161934 0.402 0.687626
## occupationclerical 1.085092 0.155798 6.965 3.29e-12 ***
## occupationhighskill 1.638349 0.139905 11.710 < 2e-16 ***
## occupationlowskill 0.246583 0.162845 1.514 0.129971
## occupationmidskill 1.060318 0.141711 7.482 7.31e-14 ***
## occupationother 12.439475 136.264650 0.091 0.927263
## household_rolewife 1.296667 0.109590 11.832 < 2e-16 ***
## household_roletenant -0.961196 0.177802 -5.406 6.44e-08 ***
## household_rolesingle_occ -1.171448 0.198074 -5.914 3.34e-09 ***
## household_rolerelative -1.516062 0.255368 -5.937 2.91e-09 ***
## household_roledepchild -1.971781 0.218628 -9.019 < 2e-16 ***
## gendermale 0.809687 0.082792 9.780 < 2e-16 ***
## hours_per_week 0.030398 0.001765 17.226 < 2e-16 ***
## native_regionEAsia 0.438599 0.189835 2.310 0.020865 *
## native_regionEurope 0.454797 0.181959 2.499 0.012439 *
## native_regionNorthAmerica 0.435257 0.119914 3.630 0.000284 ***
## native_regionSAsia -0.022621 0.292872 -0.077 0.938435
## native_regionSouthAmerica -0.686574 0.340314 -2.017 0.043646 *
## native_regionUSTerritory -0.205661 0.414099 -0.497 0.619437
## capital_gain_log 0.211036 0.007245 29.129 < 2e-16 ***
## capital_loss_log 0.155592 0.010562 14.731 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28679 on 26049 degrees of freedom
## Residual deviance: 17152 on 26017 degrees of freedom
## AIC: 17218
##
## Number of Fisher Scoring iterations: 12
# Model accuracy
accuracy <- mean(predicted.classes==testing_set$income)
# Calculate Sensitivity (True Positive Rate)
sensitivity <- tb[2, 2] / (tb[2, 2] + tb[1, 2])
# Calculate Specificity (True Negative Rate)
specificity <- tb[1, 1] / (tb[1, 1] + tb[2, 1])
# Calculate Prevalence
prevalence <- (tb[1, 2] + tb[2, 2]) / sum(tb)
# Calculate PPV (Positive Predictive Value)
ppv <- tb[2, 2] / (tb[2, 2] + tb[2, 1])
# Calculate NPV (Negative Predictive Value)
npv <- tb[1, 1] / (tb[1, 1] + tb[1, 2])
# Calculate AUROC
roc_obj <- roc(testing_set$income, probabilities)
## Setting levels: control = <=50K, case = >50K
## Setting direction: controls < cases
auroc <- auc(roc_obj)
# Print the metrics
cat("accuracy:", accuracy, "\n")
## accuracy: 0.7972973
cat("Sensitivity:", sensitivity, "\n")
## Sensitivity: 0.8334373
cat("Specificity:", specificity, "\n")
## Specificity: 0.785496
cat("Prevalence:", prevalence, "\n")
## Prevalence: 0.2461609
cat("PPV:", ppv, "\n")
## PPV: 0.5592298
cat("NPV:", npv, "\n")
## NPV: 0.9352413
cat("AUROC:", auroc, "\n")
## AUROC: 0.8943199
Note: There was no difference in the models suggesting the model complexity is already as simple as possibly * The one-hot-encoding of categorical variables may also be impacting the selection process.
cat("\n\n--------Backward Elimination---------\n\n")
##
##
## --------Backward Elimination---------
# backward selection
step(full.model, trace = F, scope = list(lower=formula(full.model), upper=formula(full.model)),
direction = 'backward')
##
## Call: glm(formula = income ~ age + workclass + education_level + years_education +
## marital_status + occupation + household_role + race + gender +
## hours_per_week + native_region + capital_gain_log + capital_loss_log,
## family = binomial, data = training_set)
##
## Coefficients:
## (Intercept) age
## -21.89895 0.02534
## workclassFedGov workclassLocGov
## 13.55632 12.85409
## workclassNeverWorked workclassPrivate
## -10.62424 13.03853
## workclassSelfEmpInc workclassSelfEmpNotInc
## 13.29227 12.56798
## workclassStateGov education_levelhighsch
## 12.80217 -0.12944
## education_levelmaster education_levelno_edu
## 0.16680 -10.21910
## education_levelphd education_levelprimary
## 0.20818 0.06427
## education_levelsecondary education_levelundergrad
## -0.45394 0.06948
## years_education marital_statusmarried
## 0.25242 0.60322
## marital_statusnotmarried marital_statuswidowed
## -0.54349 0.06997
## occupationclerical occupationhighskill
## 1.08992 1.63681
## occupationlowskill occupationmidskill
## 0.25307 1.07020
## occupationother household_rolewife
## 13.43787 1.30301
## household_roletenant household_rolesingle_occ
## -0.95624 -1.16494
## household_rolerelative household_roledepchild
## -1.50598 -1.96856
## racewhite raceblack
## 0.28215 0.24280
## racenative raceAsian_Pac_Islander
## -0.14146 0.34776
## gendermale hours_per_week
## 0.80952 0.03039
## native_regionEAsia native_regionEurope
## 0.37625 0.44993
## native_regionNorthAmerica native_regionSAsia
## 0.43823 -0.05089
## native_regionSouthAmerica native_regionUSTerritory
## -0.70621 -0.15851
## capital_gain_log capital_loss_log
## 0.21143 0.15543
##
## Degrees of Freedom: 26049 Total (i.e. Null); 26006 Residual
## Null Deviance: 28680
## Residual Deviance: 17140 AIC: 17230
cat("\n\n--------Forward Elimination---------\n\n")
##
##
## --------Forward Elimination---------
# forward selection
step(full.model, trace = F, scope = list(lower=formula(full.model), upper=formula(full.model)),
direction = 'forward')
##
## Call: glm(formula = income ~ age + workclass + education_level + years_education +
## marital_status + occupation + household_role + race + gender +
## hours_per_week + native_region + capital_gain_log + capital_loss_log,
## family = binomial, data = training_set)
##
## Coefficients:
## (Intercept) age
## -21.89895 0.02534
## workclassFedGov workclassLocGov
## 13.55632 12.85409
## workclassNeverWorked workclassPrivate
## -10.62424 13.03853
## workclassSelfEmpInc workclassSelfEmpNotInc
## 13.29227 12.56798
## workclassStateGov education_levelhighsch
## 12.80217 -0.12944
## education_levelmaster education_levelno_edu
## 0.16680 -10.21910
## education_levelphd education_levelprimary
## 0.20818 0.06427
## education_levelsecondary education_levelundergrad
## -0.45394 0.06948
## years_education marital_statusmarried
## 0.25242 0.60322
## marital_statusnotmarried marital_statuswidowed
## -0.54349 0.06997
## occupationclerical occupationhighskill
## 1.08992 1.63681
## occupationlowskill occupationmidskill
## 0.25307 1.07020
## occupationother household_rolewife
## 13.43787 1.30301
## household_roletenant household_rolesingle_occ
## -0.95624 -1.16494
## household_rolerelative household_roledepchild
## -1.50598 -1.96856
## racewhite raceblack
## 0.28215 0.24280
## racenative raceAsian_Pac_Islander
## -0.14146 0.34776
## gendermale hours_per_week
## 0.80952 0.03039
## native_regionEAsia native_regionEurope
## 0.37625 0.44993
## native_regionNorthAmerica native_regionSAsia
## 0.43823 -0.05089
## native_regionSouthAmerica native_regionUSTerritory
## -0.70621 -0.15851
## capital_gain_log capital_loss_log
## 0.21143 0.15543
##
## Degrees of Freedom: 26049 Total (i.e. Null); 26006 Residual
## Null Deviance: 28680
## Residual Deviance: 17140 AIC: 17230
cat("\n\n--------Both Elimination---------\n\n")
##
##
## --------Both Elimination---------
# forward selection
step(full.model, trace = F, scope = list(lower=formula(full.model), upper=formula(full.model)),
direction = 'both')
##
## Call: glm(formula = income ~ age + workclass + education_level + years_education +
## marital_status + occupation + household_role + race + gender +
## hours_per_week + native_region + capital_gain_log + capital_loss_log,
## family = binomial, data = training_set)
##
## Coefficients:
## (Intercept) age
## -21.89895 0.02534
## workclassFedGov workclassLocGov
## 13.55632 12.85409
## workclassNeverWorked workclassPrivate
## -10.62424 13.03853
## workclassSelfEmpInc workclassSelfEmpNotInc
## 13.29227 12.56798
## workclassStateGov education_levelhighsch
## 12.80217 -0.12944
## education_levelmaster education_levelno_edu
## 0.16680 -10.21910
## education_levelphd education_levelprimary
## 0.20818 0.06427
## education_levelsecondary education_levelundergrad
## -0.45394 0.06948
## years_education marital_statusmarried
## 0.25242 0.60322
## marital_statusnotmarried marital_statuswidowed
## -0.54349 0.06997
## occupationclerical occupationhighskill
## 1.08992 1.63681
## occupationlowskill occupationmidskill
## 0.25307 1.07020
## occupationother household_rolewife
## 13.43787 1.30301
## household_roletenant household_rolesingle_occ
## -0.95624 -1.16494
## household_rolerelative household_roledepchild
## -1.50598 -1.96856
## racewhite raceblack
## 0.28215 0.24280
## racenative raceAsian_Pac_Islander
## -0.14146 0.34776
## gendermale hours_per_week
## 0.80952 0.03039
## native_regionEAsia native_regionEurope
## 0.37625 0.44993
## native_regionNorthAmerica native_regionSAsia
## 0.43823 -0.05089
## native_regionSouthAmerica native_regionUSTerritory
## -0.70621 -0.15851
## capital_gain_log capital_loss_log
## 0.21143 0.15543
##
## Degrees of Freedom: 26049 Total (i.e. Null); 26006 Residual
## Null Deviance: 28680
## Residual Deviance: 17140 AIC: 17230
cat("\n\n--------Backward Elimination---------\n\n")
##
##
## --------Backward Elimination---------
# backward selection
step(model4, trace = F, scope = list(lower=formula(model4), upper=formula(model4)),
direction = 'backward')
##
## Call: glm(formula = income ~ age + workclass + education_level + years_education +
## marital_status + occupation + household_role + race + gender +
## hours_per_week + native_region + capital_gain_log + capital_loss_log,
## family = binomial, data = training_set_out)
##
## Coefficients:
## (Intercept) age
## -21.57250 0.02565
## workclassFedGov workclassLocGov
## 12.88731 12.14860
## workclassNeverWorked workclassPrivate
## -10.62443 12.32773
## workclassSelfEmpInc workclassSelfEmpNotInc
## 12.53429 11.86370
## workclassStateGov education_levelhighsch
## 12.04891 -0.11809
## education_levelmaster education_levelno_edu
## 0.22180 -10.42375
## education_levelphd education_levelprimary
## 0.36933 0.03612
## education_levelsecondary education_levelundergrad
## -0.38775 0.07748
## years_education marital_statusmarried
## 0.25381 0.78187
## marital_statusnotmarried marital_statuswidowed
## -0.45543 0.20167
## occupationclerical occupationhighskill
## 0.91164 1.50236
## occupationlowskill occupationmidskill
## 0.13007 0.91050
## occupationother household_rolewife
## 12.57631 1.29026
## household_roletenant household_rolesingle_occ
## -0.83068 -1.14693
## household_rolerelative household_roledepchild
## -1.20774 -1.97223
## racewhite raceblack
## 0.59108 0.54800
## racenative raceAsian_Pac_Islander
## -0.03787 0.84575
## gendermale hours_per_week
## 0.80497 0.03023
## native_regionEAsia native_regionEurope
## 0.17525 0.54364
## native_regionNorthAmerica native_regionSAsia
## 0.46042 -0.23978
## native_regionSouthAmerica native_regionUSTerritory
## -0.70149 -0.23933
## capital_gain_log capital_loss_log
## 0.20890 0.14435
##
## Degrees of Freedom: 26037 Total (i.e. Null); 25994 Residual
## Null Deviance: 28590
## Residual Deviance: 17150 AIC: 17230
cat("\n\n--------Forward Elimination---------\n\n")
##
##
## --------Forward Elimination---------
# forward selection
step(model4, trace = F, scope = list(lower=formula(model4), upper=formula(model4)),
direction = 'forward')
##
## Call: glm(formula = income ~ age + workclass + education_level + years_education +
## marital_status + occupation + household_role + race + gender +
## hours_per_week + native_region + capital_gain_log + capital_loss_log,
## family = binomial, data = training_set_out)
##
## Coefficients:
## (Intercept) age
## -21.57250 0.02565
## workclassFedGov workclassLocGov
## 12.88731 12.14860
## workclassNeverWorked workclassPrivate
## -10.62443 12.32773
## workclassSelfEmpInc workclassSelfEmpNotInc
## 12.53429 11.86370
## workclassStateGov education_levelhighsch
## 12.04891 -0.11809
## education_levelmaster education_levelno_edu
## 0.22180 -10.42375
## education_levelphd education_levelprimary
## 0.36933 0.03612
## education_levelsecondary education_levelundergrad
## -0.38775 0.07748
## years_education marital_statusmarried
## 0.25381 0.78187
## marital_statusnotmarried marital_statuswidowed
## -0.45543 0.20167
## occupationclerical occupationhighskill
## 0.91164 1.50236
## occupationlowskill occupationmidskill
## 0.13007 0.91050
## occupationother household_rolewife
## 12.57631 1.29026
## household_roletenant household_rolesingle_occ
## -0.83068 -1.14693
## household_rolerelative household_roledepchild
## -1.20774 -1.97223
## racewhite raceblack
## 0.59108 0.54800
## racenative raceAsian_Pac_Islander
## -0.03787 0.84575
## gendermale hours_per_week
## 0.80497 0.03023
## native_regionEAsia native_regionEurope
## 0.17525 0.54364
## native_regionNorthAmerica native_regionSAsia
## 0.46042 -0.23978
## native_regionSouthAmerica native_regionUSTerritory
## -0.70149 -0.23933
## capital_gain_log capital_loss_log
## 0.20890 0.14435
##
## Degrees of Freedom: 26037 Total (i.e. Null); 25994 Residual
## Null Deviance: 28590
## Residual Deviance: 17150 AIC: 17230
cat("\n\n--------Both Elimination---------\n\n")
##
##
## --------Both Elimination---------
# forward selection
step(model4, trace = F, scope = list(lower=formula(model4), upper=formula(model4)),
direction = 'both')
##
## Call: glm(formula = income ~ age + workclass + education_level + years_education +
## marital_status + occupation + household_role + race + gender +
## hours_per_week + native_region + capital_gain_log + capital_loss_log,
## family = binomial, data = training_set_out)
##
## Coefficients:
## (Intercept) age
## -21.57250 0.02565
## workclassFedGov workclassLocGov
## 12.88731 12.14860
## workclassNeverWorked workclassPrivate
## -10.62443 12.32773
## workclassSelfEmpInc workclassSelfEmpNotInc
## 12.53429 11.86370
## workclassStateGov education_levelhighsch
## 12.04891 -0.11809
## education_levelmaster education_levelno_edu
## 0.22180 -10.42375
## education_levelphd education_levelprimary
## 0.36933 0.03612
## education_levelsecondary education_levelundergrad
## -0.38775 0.07748
## years_education marital_statusmarried
## 0.25381 0.78187
## marital_statusnotmarried marital_statuswidowed
## -0.45543 0.20167
## occupationclerical occupationhighskill
## 0.91164 1.50236
## occupationlowskill occupationmidskill
## 0.13007 0.91050
## occupationother household_rolewife
## 12.57631 1.29026
## household_roletenant household_rolesingle_occ
## -0.83068 -1.14693
## household_rolerelative household_roledepchild
## -1.20774 -1.97223
## racewhite raceblack
## 0.59108 0.54800
## racenative raceAsian_Pac_Islander
## -0.03787 0.84575
## gendermale hours_per_week
## 0.80497 0.03023
## native_regionEAsia native_regionEurope
## 0.17525 0.54364
## native_regionNorthAmerica native_regionSAsia
## 0.46042 -0.23978
## native_regionSouthAmerica native_regionUSTerritory
## -0.70149 -0.23933
## capital_gain_log capital_loss_log
## 0.20890 0.14435
##
## Degrees of Freedom: 26037 Total (i.e. Null); 25994 Residual
## Null Deviance: 28590
## Residual Deviance: 17150 AIC: 17230
Reduced model that eliminates non significant variables and colinearity between those variables.
new_formula2 <- as.formula(income ~ +age + years_education + capital_gain_log + capital_loss_log +
marital_status+ occupation + household_role + gender + race + hours_per_week)
new_formula2
## income ~ +age + years_education + capital_gain_log + capital_loss_log +
## marital_status + occupation + household_role + gender + race +
## hours_per_week
# Fit the reduced model
reduced_model2 <- glm(new_formula2, data = training_set, family = binomial)
summary(reduced_model2)
##
## Call:
## glm(formula = new_formula2, family = binomial, data = training_set)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -9.179476 0.403223 -22.765 < 2e-16 ***
## age 0.024479 0.001732 14.135 < 2e-16 ***
## years_education 0.287354 0.009373 30.658 < 2e-16 ***
## capital_gain_log 0.210640 0.007205 29.235 < 2e-16 ***
## capital_loss_log 0.155009 0.010483 14.787 < 2e-16 ***
## marital_statusmarried 0.550021 0.180209 3.052 0.002272 **
## marital_statusnotmarried -0.544400 0.088346 -6.162 7.18e-10 ***
## marital_statuswidowed 0.073068 0.161611 0.452 0.651179
## occupationclerical 1.378467 0.152101 9.063 < 2e-16 ***
## occupationhighskill 1.843598 0.137544 13.404 < 2e-16 ***
## occupationlowskill 0.452575 0.160270 2.824 0.004745 **
## occupationmidskill 1.260004 0.139171 9.054 < 2e-16 ***
## occupationother 0.660050 0.172593 3.824 0.000131 ***
## household_rolewife 1.256316 0.108977 11.528 < 2e-16 ***
## household_roletenant -0.999513 0.176982 -5.648 1.63e-08 ***
## household_rolesingle_occ -1.222040 0.197550 -6.186 6.17e-10 ***
## household_rolerelative -1.585747 0.254463 -6.232 4.61e-10 ***
## household_roledepchild -2.014765 0.218107 -9.238 < 2e-16 ***
## gendermale 0.801219 0.082452 9.717 < 2e-16 ***
## racewhite 0.483374 0.278467 1.736 0.082592 .
## raceblack 0.445563 0.287955 1.547 0.121782
## racenative 0.065361 0.365183 0.179 0.857953
## raceAsian_Pac_Islander 0.402804 0.297828 1.352 0.176224
## hours_per_week 0.030445 0.001737 17.529 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28679 on 26049 degrees of freedom
## Residual deviance: 17284 on 26026 degrees of freedom
## AIC: 17332
##
## Number of Fisher Scoring iterations: 7
# Check for multicollinearity
vif(reduced_model2)
## GVIF Df GVIF^(1/(2*Df))
## age 1.200225 1 1.095548
## years_education 1.293949 1 1.137519
## capital_gain_log 1.028938 1 1.014366
## capital_loss_log 1.011269 1 1.005619
## marital_status 18.658428 3 1.628593
## occupation 1.519827 5 1.042748
## household_role 41.900493 5 1.452854
## gender 2.785419 1 1.668957
## race 1.044452 4 1.005451
## hours_per_week 1.117688 1 1.057208
# Perform Hosmer-Lemeshow goodness of fit test
# Note: A p-value less than 0.05 typically suggests that the model does not fit the data well.
hoslem.test(training_set$income, fitted(reduced_model2))
## Warning in Ops.factor(1, y): '-' not meaningful for factors
##
## Hosmer and Lemeshow goodness of fit (GOF) test
##
## data: training_set$income, fitted(reduced_model2)
## X-squared = 26050, df = 8, p-value < 2.2e-16
# Make predictions
probabilities <- reduced_model2 %>% predict(testing_set, type = "response")
predicted.classes <- ifelse(probabilities > 0.27, ">50K", "<=50K")
# Model accuracy
accuracy <- mean(predicted.classes==testing_set$income)
# confusion matrix
tb <- table(predicted.classes, testing_set$income)
tb
##
## predicted.classes <=50K >50K
## <=50K 3975 314
## >50K 934 1289
# Calculate Sensitivity (True Positive Rate)
sensitivity <- tb[2, 2] / (tb[2, 2] + tb[1, 2])
# Calculate Specificity (True Negative Rate)
specificity <- tb[1, 1] / (tb[1, 1] + tb[2, 1])
# Calculate Prevalence
prevalence <- (tb[1, 2] + tb[2, 2]) / sum(tb)
# Calculate PPV (Positive Predictive Value)
ppv <- tb[2, 2] / (tb[2, 2] + tb[2, 1])
# Calculate NPV (Negative Predictive Value)
npv <- tb[1, 1] / (tb[1, 1] + tb[1, 2])
# Calculate AUROC
roc_obj <- roc(testing_set$income, probabilities)
## Setting levels: control = <=50K, case = >50K
## Setting direction: controls < cases
auroc <- auc(roc_obj)
# Print the metrics
cat("accuracy:", accuracy, "\n")
## accuracy: 0.8083538
cat("Sensitivity:", sensitivity, "\n")
## Sensitivity: 0.8041173
cat("Specificity:", specificity, "\n")
## Specificity: 0.8097372
cat("Prevalence:", prevalence, "\n")
## Prevalence: 0.2461609
cat("PPV:", ppv, "\n")
## PPV: 0.5798471
cat("NPV:", npv, "\n")
## NPV: 0.9267895
cat("AUROC:", auroc, "\n")
## AUROC: 0.8934422
############### Outliers Removed #############################
# Fit the reduced model
reduced_model3 <- glm(new_formula2, data = training_set_out, family = binomial)
summary(reduced_model2)
##
## Call:
## glm(formula = new_formula2, family = binomial, data = training_set)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -9.179476 0.403223 -22.765 < 2e-16 ***
## age 0.024479 0.001732 14.135 < 2e-16 ***
## years_education 0.287354 0.009373 30.658 < 2e-16 ***
## capital_gain_log 0.210640 0.007205 29.235 < 2e-16 ***
## capital_loss_log 0.155009 0.010483 14.787 < 2e-16 ***
## marital_statusmarried 0.550021 0.180209 3.052 0.002272 **
## marital_statusnotmarried -0.544400 0.088346 -6.162 7.18e-10 ***
## marital_statuswidowed 0.073068 0.161611 0.452 0.651179
## occupationclerical 1.378467 0.152101 9.063 < 2e-16 ***
## occupationhighskill 1.843598 0.137544 13.404 < 2e-16 ***
## occupationlowskill 0.452575 0.160270 2.824 0.004745 **
## occupationmidskill 1.260004 0.139171 9.054 < 2e-16 ***
## occupationother 0.660050 0.172593 3.824 0.000131 ***
## household_rolewife 1.256316 0.108977 11.528 < 2e-16 ***
## household_roletenant -0.999513 0.176982 -5.648 1.63e-08 ***
## household_rolesingle_occ -1.222040 0.197550 -6.186 6.17e-10 ***
## household_rolerelative -1.585747 0.254463 -6.232 4.61e-10 ***
## household_roledepchild -2.014765 0.218107 -9.238 < 2e-16 ***
## gendermale 0.801219 0.082452 9.717 < 2e-16 ***
## racewhite 0.483374 0.278467 1.736 0.082592 .
## raceblack 0.445563 0.287955 1.547 0.121782
## racenative 0.065361 0.365183 0.179 0.857953
## raceAsian_Pac_Islander 0.402804 0.297828 1.352 0.176224
## hours_per_week 0.030445 0.001737 17.529 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28679 on 26049 degrees of freedom
## Residual deviance: 17284 on 26026 degrees of freedom
## AIC: 17332
##
## Number of Fisher Scoring iterations: 7
# Check for multicollinearity
vif(reduced_model3)
## GVIF Df GVIF^(1/(2*Df))
## age 1.209039 1 1.099563
## years_education 1.303372 1 1.141653
## capital_gain_log 1.029705 1 1.014744
## capital_loss_log 1.011626 1 1.005796
## marital_status 18.694621 3 1.629119
## occupation 1.519776 5 1.042745
## household_role 41.172083 5 1.450308
## gender 2.782263 1 1.668012
## race 1.041505 4 1.005096
## hours_per_week 1.113945 1 1.055436
# Perform Hosmer-Lemeshow goodness of fit test
# Note: A p-value less than 0.05 typically suggests that the model does not fit the data well.
hoslem.test(training_set_out$income, fitted(reduced_model3))
## Warning in Ops.factor(1, y): '-' not meaningful for factors
##
## Hosmer and Lemeshow goodness of fit (GOF) test
##
## data: training_set_out$income, fitted(reduced_model3)
## X-squared = 26038, df = 8, p-value < 2.2e-16
# Make predictions
probabilities2 <- reduced_model3 %>% predict(testing_set_out, type = "response")
predicted.classes2 <- ifelse(probabilities2 > 0.27, ">50K", "<=50K")
# Model accuracy
accuracy <- mean(predicted.classes2==testing_set_out$income)
# confusion matrix
tb2 <- table(predicted.classes2, testing_set_out$income)
tb2
##
## predicted.classes2 <=50K >50K
## <=50K 3986 284
## >50K 901 1338
# Calculate Sensitivity (True Positive Rate)
sensitivity2 <- tb2[2, 2] / (tb2[2, 2] + tb2[1, 2])
# Calculate Specificity (True Negative Rate)
specificity2 <- tb2[1, 1] / (tb2[1, 1] + tb2[2, 1])
# Calculate Prevalence
prevalence2 <- (tb2[1, 2] + tb2[2, 2]) / sum(tb2)
# Calculate PPV (Positive Predictive Value)
ppv2 <- tb2[2, 2] / (tb2[2, 2] + tb2[2, 1])
# Calculate NPV (Negative Predictive Value)
npv2 <- tb2[1, 1] / (tb2[1, 1] + tb2[1, 2])
# Calculate AUROC
roc_obj2 <- roc(testing_set_out$income, probabilities2)
## Setting levels: control = <=50K, case = >50K
## Setting direction: controls < cases
auroc2 <- auc(roc_obj)
# Print the metrics
cat("accuracy:", accuracy2, "\n")
## accuracy: 0.8210171
cat("Sensitivity:", sensitivity2, "\n")
## Sensitivity: 0.8249075
cat("Specificity:", specificity2, "\n")
## Specificity: 0.8156333
cat("Prevalence:", prevalence2, "\n")
## Prevalence: 0.2491934
cat("PPV:", ppv2, "\n")
## PPV: 0.5975882
cat("NPV:", npv2, "\n")
## NPV: 0.9334895
cat("AUROC:", auroc2, "\n")
## AUROC: 0.8934422
# full with outliers
pred_full <- prediction(probabilities, testing_set$income)
pred_full_per <- performance(pred_full, measure = "tpr", x.measure = "fpr")
mod1_pred <- data.frame(FP = pred_full_per@x.values[[1]], TP = pred_full_per@y.values[[1]])
# full without outliers
pred_full_Out <- prediction(probabilities2, testing_set_out$income)
pred_full_per2 <- performance(pred_full_Out, measure = "tpr", x.measure = "fpr")
mod2_pred <- data.frame(FP = pred_full_per2@x.values[[1]], TP = pred_full_per2@y.values[[1]])
# plot ROC curve for logistic regression
g <- ggplot() +
geom_line(data = mod1_pred, aes(x = FP, y = TP, color = 'Reduced With Outliers')) +
geom_line(data = mod2_pred, aes(x = FP, y = TP, color = 'Reduced Without Outliers')) +
geom_segment(aes(x = 0, xend = 1, y = 0, yend = 1)) +
ggtitle('ROC Curve') +
labs(x = 'False Positive Rate', y = 'True Positive Rate')
g + scale_colour_manual(name = 'Classifier', values = c('Reduced With Outliers'='red',
'Reduced Without Outliers'='blue'))
An OR of x suggests that with each additional year of (the variable), the odds of the outcome occurring increase by approximately ((OR -1)*100) all other variables remaining constant. or if it has a reference variable…compared to the reference variable.
summary(reduced_model3)
##
## Call:
## glm(formula = new_formula2, family = binomial, data = training_set_out)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -9.598491 0.418492 -22.936 < 2e-16 ***
## age 0.024997 0.001730 14.446 < 2e-16 ***
## years_education 0.291136 0.009383 31.028 < 2e-16 ***
## capital_gain_log 0.208743 0.007156 29.171 < 2e-16 ***
## capital_loss_log 0.143913 0.010389 13.852 < 2e-16 ***
## marital_statusmarried 0.738096 0.179356 4.115 3.87e-05 ***
## marital_statusnotmarried -0.448284 0.088284 -5.078 3.82e-07 ***
## marital_statuswidowed 0.194245 0.159523 1.218 0.22335
## occupationclerical 1.197102 0.147693 8.105 5.26e-16 ***
## occupationhighskill 1.699542 0.133246 12.755 < 2e-16 ***
## occupationlowskill 0.327374 0.155885 2.100 0.03572 *
## occupationmidskill 1.098318 0.134801 8.148 3.71e-16 ***
## occupationother 0.510718 0.168592 3.029 0.00245 **
## household_rolewife 1.240202 0.108733 11.406 < 2e-16 ***
## household_roletenant -0.857469 0.175185 -4.895 9.85e-07 ***
## household_rolesingle_occ -1.185394 0.197134 -6.013 1.82e-09 ***
## household_rolerelative -1.280702 0.231889 -5.523 3.33e-08 ***
## household_roledepchild -2.013056 0.221612 -9.084 < 2e-16 ***
## gendermale 0.790859 0.082095 9.634 < 2e-16 ***
## racewhite 0.827866 0.299933 2.760 0.00578 **
## raceblack 0.777479 0.308565 2.520 0.01175 *
## racenative 0.220347 0.384144 0.574 0.56624
## raceAsian_Pac_Islander 0.779149 0.317370 2.455 0.01409 *
## hours_per_week 0.030230 0.001743 17.342 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28594 on 26037 degrees of freedom
## Residual deviance: 17295 on 26014 degrees of freedom
## AIC: 17343
##
## Number of Fisher Scoring iterations: 7
# Calculate Odds Ratios and 90% Confidence Intervals
odds_ratios <- exp(coef(reduced_model3))
conf_int <- exp(confint(reduced_model3, level = 0.95))
## Waiting for profiling to be done...
# Identify significant predictors at the 0.05 level
significant_predictors <- summary(reduced_model3)$coefficients[, 4] < 0.05
# Extract Odds Ratios and Confidence Intervals for significant predictors
# Note: Use names() to match significant predictors by name
significant_or_ci <- data.frame(
OddsRatio = odds_ratios[significant_predictors],
LowerCI = conf_int[names(odds_ratios)[significant_predictors], 1],
UpperCI = conf_int[names(odds_ratios)[significant_predictors], 2]
)
significant_or_ci
## OddsRatio LowerCI UpperCI
## (Intercept) 6.783099e-05 2.936562e-05 0.0001518311
## age 1.025312e+00 1.021844e+00 1.0287992244
## years_education 1.337946e+00 1.313673e+00 1.3628928306
## capital_gain_log 1.232128e+00 1.215050e+00 1.2496192802
## capital_loss_log 1.154783e+00 1.131548e+00 1.1785880768
## marital_statusmarried 2.091949e+00 1.461510e+00 2.9543600056
## marital_statusnotmarried 6.387232e-01 5.372228e-01 0.7594162224
## occupationclerical 3.310510e+00 2.487612e+00 4.4400246538
## occupationhighskill 5.471442e+00 4.233618e+00 7.1406257944
## occupationlowskill 1.387320e+00 1.024740e+00 1.8888283730
## occupationmidskill 2.999117e+00 2.313470e+00 3.9258245123
## occupationother 1.666487e+00 1.199673e+00 2.3241718290
## household_rolewife 3.456311e+00 2.794177e+00 4.2794144445
## household_roletenant 4.242344e-01 2.987118e-01 0.5940437539
## household_rolesingle_occ 3.056257e-01 2.062195e-01 0.4468625819
## household_rolerelative 2.778421e-01 1.734786e-01 0.4314173322
## household_roledepchild 1.335798e-01 8.560423e-02 0.2042279905
## gendermale 2.205289e+00 1.878715e+00 2.5920962860
## racewhite 2.288431e+00 1.304018e+00 4.2419327604
## raceblack 2.175980e+00 1.217390e+00 4.0962024388
## raceAsian_Pac_Islander 2.179618e+00 1.196645e+00 4.1677149687
## hours_per_week 1.030692e+00 1.027184e+00 1.0342276616
# create a data frame to store information regarding deviance residuals
index <- 1:dim(training_set)[1]
dev_resid <- residuals(model3)
income <- training_set$income
dff <- data.frame(index, dev_resid, income)
ggplot(dff, aes(x = index, y = dev_resid, color = income)) +
geom_point() +
geom_hline(yintercept = 3, linetype = 'dashed', color = 'blue') +
geom_hline(yintercept = -3, linetype = 'dashed', color = 'blue')
# Set a seed for reproducibility
set.seed(1234)
# Calculate the number of rows to select
sample_size2 <- round(0.8 * nrow(adult3))
# Create a random sample of indices
index2 <- sample(1:nrow(adult3), size = sample_size2, replace = FALSE)
# Create the training set using the selected indices
training_set2 <- adult3[index, ]
# Create the testing set with the remaining indices
testing_set2 <- adult3[-index, ]
nrow(training_set2)
## [1] 26050
nrow(testing_set2)
## [1] 6512
set.seed(1234)
# Logging Capital
## Train
capital_data_training<-training_set2[,c("capital_gain","capital_loss")]
capital_data_training <- capital_data_training %>%
mutate(
capital_gain = as.numeric(capital_gain) + 0.000001,
capital_loss = as.numeric(capital_loss) + 0.000001
) %>%
mutate(log_capital_gain = log(capital_gain),
log_capital_loss = log(capital_loss)
)
training_set2<-cbind(training_set2, capital_data_training)
# Assigning classes in transformed dataset
training_set2$age<-as.numeric(training_set2$age)
training_set2$workclass<-factor(training_set2$workclass)
training_set2$education_level<-factor(training_set2$education_level)
training_set2$years_education<-as.numeric(training_set2$years_education)
training_set2$marital_status<-factor(training_set2$marital_status)
training_set2$occupation<-factor(training_set2$occupation)
training_set2$household_role<-factor(training_set2$household_role)
#training_set$continent<-factor(training_set$continent)
training_set$capital_loss_log<-as.numeric(training_set$capital_loss_log)
training_set$capital_gain_log-as.numeric(training_set$capital_gain_log)
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## Test
capital_data_testing <- testing_set2[, c("capital_gain", "capital_loss")]
capital_data_testing <- capital_data_testing %>%
mutate(
capital_gain = as.numeric(capital_gain) + 0.000001,
capital_loss = as.numeric(capital_loss) + 0.000001
) %>%
mutate(log_capital_gain = log(capital_gain),
log_capital_loss = log(capital_loss)
)
testing_set2 <- cbind(testing_set2, capital_data_testing)
# Assigning classes in transformed dataset
testing_set2$age <- as.numeric(testing_set2$age)
testing_set2$workclass <- factor(testing_set2$workclass)
testing_set2$education_level <- factor(testing_set2$education_level)
testing_set2$years_education <- as.numeric(testing_set2$years_education)
testing_set2$marital_status <- factor(testing_set2$marital_status)
testing_set2$occupation <- factor(testing_set2$occupation)
testing_set2$household_role <- factor(testing_set2$household_role)
#testing_set$continent <- factor(testing_set$continent)
testing_set$capital_loss_log <- as.numeric(testing_set$capital_loss_log)
testing_set$capital_gain_log <- as.numeric(testing_set$capital_gain_log)
glm_final<-glm(income.num~age+workclass+education_level+years_education+marital_status+occupation+household_role+race+native_region+capital_loss_log+capital_gain_log, data=training_set2, family="binomial")
# summary(glm_final)
# cbind("Coefficients" = coef(glm_final), #confint.default(glm_final, level=0.95))
set.seed(1234)
glm_final<-glm(income.num~age+workclass+education_level+years_education+marital_status+occupation+household_role+race+native_region+log_capital_loss+log_capital_gain, data=training_set2, family="binomial")
predicted_probs_final <- predict(glm_final, newdata = testing_set2, type = "response")
testing_set2$income.num <- ifelse(testing_set2$income == ">50K", 1, 0)
roc_curve_final <- roc(testing_set2$income, predicted_probs_final)
## Setting levels: control = <=50K, case = >50K
## Setting direction: controls < cases
optimal_threshold_final<- coords(roc_curve_final, "best", best.method = "closest.topleft")
plot(roc_curve_final, main = "ROC Curve With Outliers", col = "blue")
abline(a = 0, b = 1, lty = 2, col = "red")
legend("bottomright", legend = paste("AUC =", round(auc(roc_curve_final), 5)), col = "blue", lwd = 2)
AUROC of glm model with outliers is 88.781%
set.seed(1234)
glm_final<-glm(income.num~age+workclass+education_level+years_education+marital_status+occupation+household_role+race+native_region+log_capital_loss+log_capital_gain, data=training_set2, family="binomial")
testing_set2<-cbind(testing_set2, capital_data_testing)
predicted_probs_final <- predict(glm_final, newdata = testing_set2, type = "response")
testing_set2$income.num <- ifelse(testing_set2$income == "<=50K", 1, 0)
predicted_classes_final <- ifelse(predicted_probs_final < optimal_threshold_final$threshold,1, 0)
result_df <- data.frame(Index = as.numeric(names(predicted_classes_final)),
Predicted_Class = as.factor(predicted_classes_final))
confusion_matrix_final <- confusionMatrix(result_df$Predicted_Class, factor(testing_set2$income.num))
confusion_matrix_final
## Confusion Matrix and Statistics
##
## Reference
## Prediction 0 1
## 0 1343 1000
## 1 257 3912
##
## Accuracy : 0.807
## 95% CI : (0.7972, 0.8165)
## No Information Rate : 0.7543
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.5497
##
## Mcnemar's Test P-Value : < 2.2e-16
##
## Sensitivity : 0.8394
## Specificity : 0.7964
## Pos Pred Value : 0.5732
## Neg Pred Value : 0.9384
## Prevalence : 0.2457
## Detection Rate : 0.2062
## Detection Prevalence : 0.3598
## Balanced Accuracy : 0.8179
##
## 'Positive' Class : 0
##
set.seed(1234)
glm_final<-glm(income.num~age+years_education+marital_status+occupation+household_role+gender+race+log_capital_loss+log_capital_gain, data=training_set2, family="binomial")
#summary(glm_final)
set.seed(1234)
# Reduced Model
glm_final<-glm(income.num~age+years_education+marital_status+occupation+household_role+gender+race+capital_loss_log+capital_gain_log, data=training_set2, family="binomial")
predicted_probs_final <- predict(glm_final, newdata = testing_set2, type = "response")
testing_set2$income.num <- ifelse(testing_set2$income == ">50K", 1, 0)
roc_curve_final <- roc(testing_set2$income, predicted_probs_final)
## Setting levels: control = <=50K, case = >50K
## Setting direction: controls < cases
optimal_threshold_final<- coords(roc_curve_final, "best", best.method = "closest.topleft")
plot(roc_curve_final, main = "ROC Curve of Reduced Model With Outliers", col = "blue")
abline(a = 0, b = 1, lty = 2, col = "red")
legend("bottomright", legend = paste("AUC =", round(auc(roc_curve_final), 5)), col = "blue", lwd = 2)
# Reduced Model
glm_final<-glm(income.num~age+years_education+marital_status+occupation+household_role+gender+race+capital_loss_log+capital_gain_log, data=training_set2, family="binomial")
testing_set3<-cbind(testing_set2, capital_data_testing)
predicted_probs_final <- predict(glm_final, newdata = testing_set3, type = "response")
testing_set3$income.num <- ifelse(testing_set3$income == "<=50K", 1, 0)
predicted_classes_final <- ifelse(predicted_probs_final < optimal_threshold_final$threshold,1, 0)
result_df <- data.frame(Index = as.numeric(names(predicted_classes_final)),
Predicted_Class = as.factor(predicted_classes_final))
confusion_matrix_final_reduced_with_outliers <- confusionMatrix(result_df$Predicted_Class, factor(testing_set3$income.num))
confusion_matrix_final_reduced_with_outliers
## Confusion Matrix and Statistics
##
## Reference
## Prediction 0 1
## 0 1335 984
## 1 265 3928
##
## Accuracy : 0.8082
## 95% CI : (0.7984, 0.8177)
## No Information Rate : 0.7543
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.5506
##
## Mcnemar's Test P-Value : < 2.2e-16
##
## Sensitivity : 0.8344
## Specificity : 0.7997
## Pos Pred Value : 0.5757
## Neg Pred Value : 0.9368
## Prevalence : 0.2457
## Detection Rate : 0.2050
## Detection Prevalence : 0.3561
## Balanced Accuracy : 0.8170
##
## 'Positive' Class : 0
##
set.seed(1234)
outlier_indices <- c(4569, 5386, 10459, 15377, 17040, 18437, 20177, 31369, 32215, 32562)
training_set_outliers_removed <- training_set2[-outlier_indices, ]
outlier_indices <- c(4569, 5386, 10459, 15377, 17040, 18437, 20177, 31369, 32215, 32562)
testing_set_outliers_removed <- testing_set3[-outlier_indices, ]
glm_final_reduced_without_outliers<-glm(income.num~age+years_education+marital_status+occupation+household_role+gender+race+capital_loss_log+capital_gain_log, data=training_set_outliers_removed, family="binomial")
# AUROC
glm_final<-glm(income.num~age+years_education+marital_status+occupation+household_role+gender+race+capital_loss_log+capital_gain_log, data=training_set_outliers_removed, family="binomial")
predicted_probs_final <- predict(glm_final, newdata = testing_set_outliers_removed, type = "response")
testing_set_outliers_removed$income.num <- ifelse(testing_set_outliers_removed$income == ">50K", 1, 0)
roc_curve_final <- roc(testing_set_outliers_removed$income, predicted_probs_final)
## Setting levels: control = <=50K, case = >50K
## Setting direction: controls < cases
optimal_threshold_final<- coords(roc_curve_final, "best", best.method = "closest.topleft")
plot(roc_curve_final, main = "ROC Curve of Reduced Model Without Outliers", col = "blue")
abline(a = 0, b = 1, lty = 2, col = "red")
legend("bottomright", legend = paste("AUC =", round(auc(roc_curve_final), 5)), col = "blue", lwd = 2)
set.seed(1234)
glm_final<-glm(income.num~age+years_education+marital_status+occupation+household_role+gender+race+log_capital_loss+log_capital_gain, data=training_set_outliers_removed, family="binomial")
predicted_probs_final <- predict(glm_final, newdata = testing_set_outliers_removed, type = "response")
testing_set_outliers_removed$income.num <- ifelse(testing_set_outliers_removed$income == "<=50K", 1, 0)
predicted_classes_final <- ifelse(predicted_probs_final < optimal_threshold_final$threshold,1, 0)
result_df <- data.frame(Index = as.numeric(names(predicted_classes_final)),
Predicted_Class = as.factor(predicted_classes_final))
confusion_matrix_reduced_without_outliers <- confusionMatrix(result_df$Predicted_Class, factor(testing_set_outliers_removed$income.num))
confusion_matrix_reduced_without_outliers
## Confusion Matrix and Statistics
##
## Reference
## Prediction 0 1
## 0 1354 1033
## 1 245 3878
##
## Accuracy : 0.8037
## 95% CI : (0.7938, 0.8133)
## No Information Rate : 0.7544
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.5457
##
## Mcnemar's Test P-Value : < 2.2e-16
##
## Sensitivity : 0.8468
## Specificity : 0.7897
## Pos Pred Value : 0.5672
## Neg Pred Value : 0.9406
## Prevalence : 0.2456
## Detection Rate : 0.2080
## Detection Prevalence : 0.3667
## Balanced Accuracy : 0.8182
##
## 'Positive' Class : 0
##
Minimal change in performance with removal of outliers. We will move forward with the reduced model including the outliers
glm_final<-glm(income.num~age+years_education+marital_status+occupation+household_role+gender+race+capital_loss_log+capital_gain_log, data=training_set2, family="binomial")
summary(glm_final)
##
## Call:
## glm(formula = income.num ~ age + years_education + marital_status +
## occupation + household_role + gender + race + capital_loss_log +
## capital_gain_log, family = "binomial", data = training_set2)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -7.767626 0.404255 -19.215 < 2e-16 ***
## age 0.020839 0.001678 12.417 < 2e-16 ***
## years_education 0.290603 0.009251 31.413 < 2e-16 ***
## marital_statusmarried 0.535167 0.177654 3.012 0.00259 **
## marital_statusnotmarried -0.468821 0.087211 -5.376 7.63e-08 ***
## marital_statuswidowed 0.027897 0.160841 0.173 0.86230
## occupationclerical 0.847963 0.141608 5.988 2.12e-09 ***
## occupationhighskill 1.478613 0.127666 11.582 < 2e-16 ***
## occupationlowskill 0.006958 0.150122 0.046 0.96303
## occupationmidskill 0.856592 0.129186 6.631 3.34e-11 ***
## occupationother 0.012684 0.162331 0.078 0.93772
## household_rolewife 1.216307 0.107220 11.344 < 2e-16 ***
## household_roletenant -1.013876 0.173166 -5.855 4.77e-09 ***
## household_rolesingle_occ -1.263422 0.194789 -6.486 8.81e-11 ***
## household_rolerelative -1.526758 0.240548 -6.347 2.20e-10 ***
## household_roledepchild -2.173666 0.214978 -10.111 < 2e-16 ***
## gendermale 0.927797 0.081051 11.447 < 2e-16 ***
## racewhite 0.841636 0.306211 2.749 0.00599 **
## raceblack 0.720119 0.314635 2.289 0.02209 *
## racenative 0.431459 0.384835 1.121 0.26222
## raceAsian_Pac_Islander 0.619243 0.323642 1.913 0.05570 .
## capital_loss_log 0.151753 0.010328 14.694 < 2e-16 ***
## capital_gain_log 0.205507 0.007069 29.074 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28686 on 26049 degrees of freedom
## Residual deviance: 17745 on 26027 degrees of freedom
## AIC: 17791
##
## Number of Fisher Scoring iterations: 7
set.seed(1234)
coef(glm_final)
## (Intercept) age years_education
## -7.767626213 0.020838881 0.290602682
## marital_statusmarried marital_statusnotmarried marital_statuswidowed
## 0.535166588 -0.468820538 0.027897488
## occupationclerical occupationhighskill occupationlowskill
## 0.847962934 1.478613174 0.006957833
## occupationmidskill occupationother household_rolewife
## 0.856592004 0.012683882 1.216306810
## household_roletenant household_rolesingle_occ household_rolerelative
## -1.013875798 -1.263422200 -1.526757787
## household_roledepchild gendermale racewhite
## -2.173665697 0.927796823 0.841635881
## raceblack racenative raceAsian_Pac_Islander
## 0.720118918 0.431458648 0.619242942
## capital_loss_log capital_gain_log
## 0.151752515 0.205507364
exp(cbind("Coefficient" = coef(glm_final), confint.default(glm_final, level=0.95)))
## Coefficient 2.5 % 97.5 %
## (Intercept) 0.0004232167 0.0001916287 0.0009346846
## age 1.0210575264 1.0177044157 1.0244216849
## years_education 1.3372331713 1.3132051851 1.3617008025
## marital_statusmarried 1.7077327069 1.2055933165 2.4190172245
## marital_statusnotmarried 0.6257398697 0.5274234429 0.7423833539
## marital_statuswidowed 1.0282902672 0.7502532455 1.4093652777
## occupationclerical 2.3348856886 1.7690046602 3.0817845208
## occupationhighskill 4.3868576525 3.4157333896 5.6340814308
## occupationlowskill 1.0069820950 0.7503048189 1.3514679824
## occupationmidskill 2.3551207590 1.8283111190 3.0337253500
## occupationother 1.0127646639 0.7367707720 1.3921457031
## household_rolewife 3.3747012790 2.7350779205 4.1639064967
## household_roletenant 0.3628100725 0.2583928778 0.5094225113
## household_rolesingle_occ 0.2826849648 0.1929736107 0.4141021616
## household_rolerelative 0.2172388614 0.1355760567 0.3480903933
## household_roledepchild 0.1137598426 0.0746448075 0.1733717618
## gendermale 2.5289313521 2.1574772372 2.9643389387
## racewhite 2.3201593787 1.2731246302 4.2282895284
## raceblack 2.0546775334 1.1089854353 3.8068126343
## racenative 1.5395014780 0.7241161487 3.2730450837
## raceAsian_Pac_Islander 1.8575212580 0.9850294224 3.5028245305
## capital_loss_log 1.1638721595 1.1405503474 1.1876708527
## capital_gain_log 1.2281480256 1.2112504824 1.2452812979
Intercept (Beta_0): Using a chi-square test at the 95% confidence level, the coefficient of the intercept (Beta_0) is estimated at -7.498387, with a p-value of < 2e-16. Given the p-value is below our alpha threshold of 0.05, there is strong evidence to reject the null hypothesis that Beta_0 is equal to 0. The confidence interval (CI) for Beta_0 is (-8.020812970, -6.97596079).
Age (Beta_1): Using a chi-square test at the 95% confidence level, the coefficient of the age variable (Beta_1) is estimated at 0.016518, with a final p-value of < 2e-16. Given the p-value is below our alpha threshold of 0.05, there is strong evidence to reject the null hypothesis that Beta_1 is equal to 0.
With these results, there is evidence at the 95% confidence level that a 10-unit change in age corresponds to a 1.179607 factor increase in the odds of being high income by approximately 1.02, with a confidence interval between (1.1424937, 1.2179269).
Years of Education (Beta_2): Using a chi-square test at the 95% confidence level, the coefficient of the years_education variable (Beta_2) is estimated at 0.308309, with a final p-value of < 2e-16. Given the p-value is below our alpha threshold of 0.05, there is strong evidence to reject the null hypothesis that Beta_2 is equal to 0.
With these results, there is evidence at the 95% confidence level that a 10-unit change in years of education corresponds to a substantial increase in the odds of being high income, with a 21.825787 factor increase of approximately 1.36, and a confidence interval between (18.25955, 26.08852).
Marital Status: Married (Beta_3): Using a chi-square test at the 95% confidence level, the coefficient of the marital_statusmarried variable (Beta_3) is estimated at 0.496526, with a final p-value of 0.00430. Given the p-value is below our alpha threshold of 0.05, there is strong evidence to reject the null hypothesis that Beta_3 is equal to 0.
With these results, there is evidence at the 95% confidence level that the odds of a married individual making >50K are 1.643003 times greater than individuals who are divorced, with a confidence interval between (1.168419, 2.310352).
Not Married (Beta_4): Using a chi-square test at the 95% confidence level, the coefficient of the marital_statusnotmarried variable (Beta_4) is estimated at -0.586497, with a final p-value of 6.80e-12. Given the p-value is below our alpha threshold of 0.05, there is strong evidence to reject the null hypothesis that Beta_4 is equal to 0.
With these results, there is evidence at the 95% confidence level that the odds of an unmarried individual making >50K are 5.562727e-01 times lower than individuals who are divorced, with a confidence interval between (.4704704, .6577234).
Widowed (Beta_5): Using a chi-square test at the 95% confidence level, the coefficient of the marital_statuswidowed variable (Beta_5) is estimated at -0.194806, with a final p-value of 0.22970. Given the p-value is above our alpha threshold of 0.05, there is not sufficient evidence to reject the null hypothesis that Beta_5 is equal to 0.
Occupation: Clerical (Beta_6): Using a chi-square test at the 95% confidence level, the coefficient of the occupationclerical variable (Beta_6) is estimated at 0.908345, with a final p-value of 1.61e-10. Given the p-value is below our alpha threshold of 0.05, there is strong evidence to reject the null hypothesis that Beta_6 is equal to 0.
With these results, there is evidence at the 95% confidence level that the odds of a clerical worker making >50K are 2.480215 times higher than those of an agricultural worker, with a confidence interval between (1.877497e+00, 3.276418e+00).
High Skill (Beta_7): Using a chi-square test at the 95% confidence level, the coefficient of the occupationhighskill variable (Beta_7) is estimated at 1.352085, with a final p-value of < 2e-16. Given the p-value is below our alpha threshold of 0.05, there is strong evidence to reject the null hypothesis that Beta_7 is equal to 0.
With these results, there is evidence at the 95% confidence level that the odds of a high-skill worker making >50K are 3.865477 times higher than those of an agricultural worker, with a confidence interval between (3.010316, 4.963568).
Low Skill (Beta_8): Using a chi-square test at the 95% confidence level, the coefficient of the occupationlowskill variable (Beta_8) is estimated at -0.053504, with a final p-value of 0.72441. Given the p-value is above our alpha threshold of 0.05, there is not sufficient evidence to reject the null hypothesis that Beta_8 is equal to 0.
Mid Skill (Beta_9): Using a chi-square test at the 95% confidence level, the coefficient of the occupationmidskill variable (Beta_9) is estimated at 0.857840, with a final p-value of 3.55e-11. Given the p-value is below our alpha threshold of 0.05, there is strong evidence to reject the null hypothesis that Beta_9 is equal to 0.
With these results, there is evidence at the 95% confidence level that the odds of a mid-skill worker making >50K are 2.358061 times higher than those of an agricultural worker, with a confidence interval between (1.829278, 3.039697).
Household Role: Husband (Beta_10): Using a chi-square test at the 95% confidence level, the coefficient of the household_rolehusband variable (Beta_10) is estimated at 2.275175, with a final p-value of < 2e-16. Given the p-value is below our alpha threshold of 0.05, there is strong evidence to reject the null hypothesis that Beta_10 is equal to 0.
With these results, there is evidence at the 95% confidence level that the odds of a husband making >50K are 9.729618 times higher than those of a dependent, with a confidence interval between (6.434549, 14.71206).
Relative (Beta_11): Using a chi-square test at the 95% confidence level, the coefficient of the household_rolerelative variable (Beta_11) is estimated at 0.697999, with a final p-value of 0.00605. Given the p-value is below our alpha threshold of 0.05, there is sufficient evidence to reject the null hypothesis that Beta_11 is equal to 0.
With these results, there is evidence at the 95% confidence level that the odds of a relative within a family household making >50K are 2.009726 times higher than those of a dependent, with a confidence interval between (1.220959e+00, 3.308055e+00).
Single Occupant (Beta_12): Using a chi-square test at the 95% confidence level, the coefficient of the household_rolesingle_occ variable (Beta_12) is estimated at 0.989746, with a final p-value of 6.94e-09. Given the p-value is below our alpha threshold of 0.05, there is sufficient evidence to reject the null hypothesis that Beta_12 is equal to 0.
With these results, there is evidence at the 95% confidence level that the odds of a single-occupant making >50K are 27.83640 times higher than those of a dependent, with a confidence interval between (1.924844e+00, 3.760856e+00).
Tenant (Beta_13): Using a chi-square test at the 95% confidence level, the coefficient of the household_roletenant variable (Beta_13) is estimated at 1.271726, with a final p-value of < 2e-16. Given the p-value is below our alpha threshold of 0.05, there is sufficient evidence to reject the null hypothesis that Beta_13 is equal to 0.
With these results, there is evidence at the 95% confidence level that the odds of a tenant making >50K are 3.567003 times higher than those of a dependent, with a confidence interval between (2.679115e+00, 4.749146e+00).
Wife (Beta_14): Using a chi-square test at the 95% confidence level, the coefficient of the household_rolewife variable (Beta_14) is estimated at 3.32634446, with a final p-value of < 2e-16. Given the p-value is below our alpha threshold of 0.05, there is sufficient evidence to reject the null hypothesis that Beta_14 is equal to 0.
With these results, there is evidence at the 95% confidence level that the odds of a wife within the household making >50K are 27.84856 timeshigher than those of a dependent, with a confidence interval between (17.92502, 43.22814).
Gender: Male (Beta_15): Using a chi-square test at the 95% confidence level, the coefficient of the gendermale variable (Beta_15) is estimated at 0.870530, with a final p-value of < 2e-16. Given the p-value is below our alpha threshold of 0.05, there is sufficient evidence to reject the null hypothesis that Beta_15 is equal to 0.
With these results, there is evidence at the 95% confidence level that the odds of a male making >50K are 2.388176 times higher than those of a female, with a confidence interval between (2.043648, 2.790788).
Race: Black (Beta_16): Using a chi-square test at the 95% confidence level, the coefficient of the raceblack variable (Beta_16) is estimated at 0.081020, with a final p-value of 0.53106. Given the p-value is above our alpha threshold of 0.05, there is not sufficient evidence to reject the null hypothesis that Beta_16 is equal to 0.
Native (Beta_17): Using a chi-square test at the 95% confidence level, the coefficient of the racenative variable (Beta_17) is estimated at -0.218989, with a final p-value of 0.38926. Given the p-value is above our alpha threshold of 0.05, there is not sufficient evidence to reject the null hypothesis that Beta_17 is equal to 0.
White (Beta_18): Using a chi-square test at the 95% confidence level, the coefficient of the racewhite variable (Beta_18) is estimated at 0.218540, with a final p-value of 0.04187. Given the p-value is below our alpha threshold of 0.05, there is some evidence to reject the null hypothesis that Beta_18 is equal to 0.
With these results, there is evidence at the 95% confidence level that the odds of a white individual making >50K are 1.244259 times higher than those of an asian individual, with a confidence interval between (1.008067, 1.535791).
Logged Capital Loss (Beta_19): Using a chi-square test at the 95% confidence level, the coefficient of the log_capital_loss variable (Beta_19) is estimated at 0.051903, with a final p-value of < 2e-16. Given the p-value is below our alpha threshold of 0.05, there is strong evidence to reject the null hypothesis that Beta_19 is equal to 0.
With these results, there is evidence at the 95% confidence level that a 10-unit change in log_capital_loss corresponds to a 1.68040 factor increase in the odds of being high income, with a confidence interval between (1.045891, 1.060709).
Logged Capital Gain (Beta_20): Using a chi-square test at the 95% confidence level, the coefficient of the log_capital_gain variable (Beta_20) is estimated at 0.077103, with a final p-value of < 2e-16. Given the p-value is below our alpha threshold of 0.05, there is strong evidence to reject the null hypothesis that Beta_20 is equal to 0.
With these results, there is evidence at the 95% confidence level that a 10-unit change in log_capital_gain corresponds to a 2.161985 factor increase in the odds of being high income, with a confidence interval between (2.050229, 2.279832)
# Example:
# print_model_metrics(model = generic_model, test_data = testing_set, response_var = "income", pos_value = "Over.50K", threshold = 0.28, model_title = "Simple GLM")
#
library(caret)
library(pROC)
print_model_metrics <-
function(model,
test_data,
response_var,
pos_value,
threshold = 0.5,
model_title = "Model Metrics") {
# Ensure that the response variable is a factor with exactly two levels
response_factor <-
factor(test_data[[response_var]], levels = unique(test_data[[response_var]]))
# Make sure we have exactly two levels
if (length(levels(response_factor)) != 2) {
stop("Response variable must have exactly two levels.")
}
# Make predictions and convert to factor with the specified positive value
probabilities <- predict(model, test_data, type = "response")
predicted_classes <-
factor(ifelse(
probabilities > threshold,
levels(response_factor)[2],
levels(response_factor)[1]
),
levels = levels(response_factor))
# Calculate the confusion matrix using caret, using pos_value to specify the positive class
cm <-
confusionMatrix(predicted_classes, response_factor, positive = pos_value)
# Extract metrics from the confusion matrix
accuracy <- cm$overall['Accuracy']
sensitivity <- cm$byClass['Sensitivity']
specificity <- cm$byClass['Specificity']
prevalence <- cm$byClass['Prevalence']
ppv <- cm$byClass['Pos Pred Value']
npv <- cm$byClass['Neg Pred Value']
# Calculate AUROC using pROC, ensuring numeric conversion accounts for positive class being '1'
roc_obj <-
roc(response = as.numeric(response_factor) - 1,
predictor = probabilities)
auroc <- auc(roc_obj)
# Replace NA values with zero or another appropriate placeholder
metrics_values <-
c(accuracy,
sensitivity,
specificity,
prevalence,
ppv,
npv,
auroc)
metrics_values[is.na(metrics_values)] <- 0
# Compile the metrics into a data frame
metrics <- data.frame(
Metric = c(
"Accuracy",
"Sensitivity",
"Specificity",
"Prevalence",
"PPV",
"NPV",
"AUROC"
),
Value = metrics_values
)
# Prepare the caption with the threshold information
aic_val <- AIC(model)
full_caption <-
sprintf("%s\nThreshold: %s\nAIC: %.2f",
model_title,
threshold,
aic_val)
# Print the metrics table using knitr
knitr::kable(
metrics,
col.names = c("Metric", "Value"),
format = "markdown",
caption = full_caption,
)
}
print_model_metrics(model = full.model, test_data = testing_set_out, response_var = "income", pos_value = ">50K", threshold = 0.26, model_title = "Simple GLM")
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
| Metric | Value | |
|---|---|---|
| Accuracy | Accuracy | 0.8157935 |
| Sensitivity | Sensitivity | 0.8304562 |
| Specificity | Specificity | 0.8109269 |
| Prevalence | Prevalence | 0.2491934 |
| Pos Pred Value | PPV | 0.5931308 |
| Neg Pred Value | NPV | 0.9351109 |
| AUROC | 0.9049136 |
set.seed(1234)
library(caret)
library(pROC)
library(ggplot2)
# Example
# plot_model_metrics_by_threshold(model = {your_model}, test_data = {your_test_set}, response_var = "income", pos_value = {"Greater.50K"})
plot_model_metrics_by_threshold <-
function(model,
test_data,
response_var,
pos_value,
thresholds = seq(0.1, 0.9, by = 0.05),
model_title = "Model Metrics by Threshold") {
# Ensure the response variable is a factor with exactly two levels
response_factor <-
factor(test_data[[response_var]], levels = unique(test_data[[response_var]]))
# Make sure we have exactly two levels
if (length(levels(response_factor)) != 2) {
stop("Response variable must have exactly two levels.")
}
# Prepare to collect metrics
results <-
data.frame(
Threshold = numeric(0),
Accuracy = numeric(0),
Sensitivity = numeric(0),
Specificity = numeric(0),
Prevalence = numeric(0),
PPV = numeric(0),
NPV = numeric(0)
)
# Loop over each threshold
for (threshold in thresholds) {
# Make predictions and convert to factor with the specified positive value
probabilities <- predict(model, test_data, type = "response")
predicted_classes <-
factor(
ifelse(
probabilities > threshold,
pos_value,
levels(response_factor)[levels(response_factor) != pos_value]
),
levels = levels(response_factor)
)
# Calculate the confusion matrix using caret
cm <-
confusionMatrix(predicted_classes, response_factor, positive = pos_value)
# Store metrics
results <- rbind(
results,
data.frame(
Threshold = threshold,
Accuracy = cm$overall['Accuracy'],
Sensitivity = cm$byClass['Sensitivity'],
Specificity = cm$byClass['Specificity'],
Prevalence <- cm$byClass['Prevalence'],
PPV = cm$byClass['Pos Pred Value'],
NPV = cm$byClass['Neg Pred Value']
)
)
}
# Melt results for plotting
results_long <-
reshape2::melt(results, id.vars = 'Threshold', variable.name = 'Metric')
# Plot results
plot <-
ggplot(results_long, aes(x = Threshold, y = value, color = Metric)) +
geom_line() +
labs(title = model_title, x = "Threshold", y = "Metric Value") +
scale_color_manual(
values = c(
"Accuracy" = "blue",
"Sensitivity" = "red",
"Specificity" = "green",
"Prevalence" = "purple",
"PPV" = "orange",
"NPV" = "brown"
)
) +
scale_y_continuous(limits = c(0, 1)) +
ggtitle(paste("Metrics for Various Thresholds -", model_title))
# Return the plot
return(plot)
}
plot_model_metrics_by_threshold(model =full.model, test_data = testing_set_out, response_var = "income", pos_value = ">50K")
\[ \hat{Y}_{\text{income}} = \beta_0 \\ + \beta_{1} \text{marital_status} \\ + \beta_{2} \text{household_role} \\ + \beta_{3} \text{occupation}\\ + \beta_4 \text{years_education} \\ + \beta_5 \text{age} + \beta_6 \text{age}^2 \\ + \beta_7 \text{hours_per_week} + \beta_8 \text{hours_per_week}^2 \\ + \beta_9 \text{capital_gain_log} + \beta_{10} \text{capital_gain_log}^2 \\ + \beta_{11} \text{capital_loss_log} + \beta_{12} \text{capital_loss_log}^2 \\ \]
model_formula <- as.formula("income ~ poly(age,2) +
poly(years_education,2) +
poly(hours_per_week,2) +
poly(capital_gain_log,2) +
poly(capital_loss_log,2) +
marital_status_num +
household_role_num +
occupation_num")
poly.fit <- glm(model_formula, data = training_set_LR, family = "binomial")
summary(poly.fit)
##
## Call:
## glm(formula = model_formula, family = "binomial", data = training_set_LR)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.62506 0.11051 5.656 1.55e-08 ***
## poly(age, 2)1 79.98704 4.24033 18.863 < 2e-16 ***
## poly(age, 2)2 -87.09251 4.82640 -18.045 < 2e-16 ***
## poly(years_education, 2)1 131.15633 4.05644 32.333 < 2e-16 ***
## poly(years_education, 2)2 6.01310 4.10787 1.464 0.1432
## poly(hours_per_week, 2)1 55.43791 4.08927 13.557 < 2e-16 ***
## poly(hours_per_week, 2)2 -28.45053 3.66390 -7.765 8.16e-15 ***
## poly(capital_gain_log, 2)1 165.11045 6.54476 25.228 < 2e-16 ***
## poly(capital_gain_log, 2)2 224.08600 11.06536 20.251 < 2e-16 ***
## poly(capital_loss_log, 2)1 35.54709 2.71729 13.082 < 2e-16 ***
## poly(capital_loss_log, 2)2 31.52636 3.70030 8.520 < 2e-16 ***
## marital_status_num -0.06609 0.03649 -1.811 0.0701 .
## household_role_num -0.84908 0.01931 -43.974 < 2e-16 ***
## occupation_num -0.08631 0.01728 -4.994 5.91e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28723 on 26049 degrees of freedom
## Residual deviance: 17095 on 26036 degrees of freedom
## AIC: 17123
##
## Number of Fisher Scoring iterations: 7
par(mfrow=c(2,2))
plot(poly.fit)
par(mfrow=c(1,1))
plot_model_metrics_by_threshold(model = poly.fit, test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
model_title = "Simple Fit with Polynomial ^2")
poly2 <- print_model_metrics(model = poly.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
threshold = 0.267,
model_title = "Simple Fit with Polynomial ^2")
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
print(poly2)
##
##
## Table: Simple Fit with Polynomial ^2
## Threshold: 0.267
## AIC: 17122.78
##
## | |Metric | Value|
## |:--------------|:-----------|---------:|
## |Accuracy |Accuracy | 0.8069717|
## |Sensitivity |Sensitivity | 0.8289141|
## |Specificity |Specificity | 0.7999188|
## |Prevalence |Prevalence | 0.2432432|
## |Pos Pred Value |PPV | 0.5711179|
## |Neg Pred Value |NPV | 0.9356753|
## | |AUROC | 0.9020507|
\[ \hat{Y}_{\text{income}} = \beta_0 \\ + \beta_{1} \text{marital_status} \\ + \beta_{2} \text{household_role} \\ + \beta_{3} \text{occupation}\\ + \beta_4 \text{years_education} \\ + \beta_5 \text{age} + \beta_6 \text{age}^3 \\ + \beta_7 \text{hours_per_week} + \beta_8 \text{hours_per_week}^3 \\ + \beta_9 \text{capital_gain_log} + \beta_{10} \text{capital_gain_log}^3 \\ + \beta_{11} \text{capital_loss_log} + \beta_{12} \text{capital_loss_log} \\ \]
model_formula3 <- as.formula("income ~ poly(age,3) +
poly(years_education,3) +
poly(hours_per_week,3) +
poly(capital_gain_log,3) +
capital_loss_log +
marital_status_num +
household_role_num +
occupation_num")
poly3.fit <- glm(model_formula3, data = training_set_LR, family = "binomial")
summary(poly3.fit)
##
## Call:
## glm(formula = model_formula3, family = "binomial", data = training_set_LR)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.39918 0.11197 3.565 0.000364 ***
## poly(age, 3)1 96.98297 5.52301 17.560 < 2e-16 ***
## poly(age, 3)2 -92.87314 5.01600 -18.515 < 2e-16 ***
## poly(age, 3)3 23.72988 4.76139 4.984 6.23e-07 ***
## poly(years_education, 3)1 128.28773 4.06701 31.543 < 2e-16 ***
## poly(years_education, 3)2 7.22034 4.27434 1.689 0.091175 .
## poly(years_education, 3)3 -0.18318 3.64841 -0.050 0.959957
## poly(hours_per_week, 3)1 52.10159 4.06692 12.811 < 2e-16 ***
## poly(hours_per_week, 3)2 -24.17059 3.75039 -6.445 1.16e-10 ***
## poly(hours_per_week, 3)3 -10.93451 3.25761 -3.357 0.000789 ***
## poly(capital_gain_log, 3)1 110.39230 7.81136 14.132 < 2e-16 ***
## poly(capital_gain_log, 3)2 140.51804 11.78670 11.922 < 2e-16 ***
## poly(capital_gain_log, 3)3 -86.68426 12.26486 -7.068 1.58e-12 ***
## capital_loss_log 0.14847 0.01010 14.707 < 2e-16 ***
## marital_status_num -0.05236 0.03623 -1.445 0.148428
## household_role_num -0.83787 0.01923 -43.564 < 2e-16 ***
## occupation_num -0.08674 0.01732 -5.007 5.52e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28723 on 26049 degrees of freedom
## Residual deviance: 17116 on 26033 degrees of freedom
## AIC: 17150
##
## Number of Fisher Scoring iterations: 7
par(mfrow=c(2,2))
plot(poly3.fit)
par(mfrow=c(1,1))
plot_model_metrics_by_threshold(
model = poly3.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
model_title = "Simple Fit with Polynomial ^3"
)
poly3 <-
print_model_metrics(
model = poly3.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
threshold = 0.267,
model_title = "Simple Fit with Polynomial Cubed"
)
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
print(poly3)
##
##
## Table: Simple Fit with Polynomial Cubed
## Threshold: 0.267
## AIC: 17150.40
##
## | |Metric | Value|
## |:--------------|:-----------|---------:|
## |Accuracy |Accuracy | 0.8029791|
## |Sensitivity |Sensitivity | 0.8270202|
## |Specificity |Specificity | 0.7952516|
## |Prevalence |Prevalence | 0.2432432|
## |Pos Pred Value |PPV | 0.5648987|
## |Neg Pred Value |NPV | 0.9346530|
## | |AUROC | 0.9021602|
\[ \hat{Y}_{\text{income}} = \beta_0 \\ + \beta_1 \text{age} + \beta_2 \text{gender} + \beta_3 \text{hours_per_week}\\ + \beta_4 \text{years_education}+ \beta_5 \text{marital_status} \\ + \beta_6 \text{capital_gain_log} + \beta_{7} \text{capital_loss_log}\\ + \beta_{8} \text{household_role} + \beta_{9} \text{occupation} \\ + \beta_{10} (\text{age} \times \text{gender}) + \beta_{11} (\text{years_education} \\ + \beta_{12} (\text{hours_per_week} \times \text{race}) \\ \]
model_formula <- as.formula("income ~ age * gender_num +
hours_per_week * race_num +
years_education +
capital_gain_log +
capital_loss_log +
household_role_num +
marital_status_num +
occupation_num")
complex.fit <- glm(model_formula, data = training_set_LR, family = "binomial")
summary(complex.fit)
##
## Call:
## glm(formula = model_formula, family = "binomial", data = training_set_LR)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -3.7286439 0.4231894 -8.811 < 2e-16 ***
## age 0.0190514 0.0065386 2.914 0.00357 **
## gender_num -0.1338344 0.1588156 -0.843 0.39939
## hours_per_week 0.0193465 0.0060982 3.173 0.00151 **
## race_num -0.2106693 0.1213555 -1.736 0.08257 .
## years_education 0.3363655 0.0084214 39.942 < 2e-16 ***
## capital_gain_log 0.1992702 0.0068839 28.947 < 2e-16 ***
## capital_loss_log 0.1513372 0.0099559 15.201 < 2e-16 ***
## household_role_num -0.8588589 0.0222545 -38.593 < 2e-16 ***
## marital_status_num -0.2104452 0.0332061 -6.338 2.33e-10 ***
## occupation_num -0.0916370 0.0166034 -5.519 3.41e-08 ***
## age:gender_num 0.0007675 0.0035957 0.213 0.83097
## hours_per_week:race_num 0.0037267 0.0027283 1.366 0.17196
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28723 on 26049 degrees of freedom
## Residual deviance: 18587 on 26037 degrees of freedom
## AIC: 18613
##
## Number of Fisher Scoring iterations: 6
formula(complex.fit)
## income ~ age * gender_num + hours_per_week * race_num + years_education +
## capital_gain_log + capital_loss_log + household_role_num +
## marital_status_num + occupation_num
par(mfrow=c(2,2))
plot(complex.fit)
par(mfrow=c(1,1))
plot_model_metrics_by_threshold(
model = complex.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
model_title = "Complex (Interactions)"
)
compleX <-
print_model_metrics(
model = complex.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
threshold = 0.267,
model_title = "Interactions:(Hours_per_week* Race)"
)
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
print(complex)
## function (length.out = 0L, real = numeric(), imaginary = numeric(),
## modulus = 1, argument = 0)
## {
## if (missing(modulus) && missing(argument)) {
## .Internal(complex(length.out, real, imaginary))
## }
## else {
## n <- max(length.out, length(argument), length(modulus))
## rep_len(modulus, n) * exp((0+1i) * rep_len(argument,
## n))
## }
## }
## <bytecode: 0x000001fb9cc27e40>
## <environment: namespace:base>
model_formula <- as.formula("income ~ poly(age,2)*gender_num +
poly(years_education,2) * marital_status_num +
poly(hours_per_week,2) * marital_status_num +
poly(capital_gain_log,2) +
poly(capital_loss_log,2) +
household_role_num +
occupation_num")
complex.fit <- glm(model_formula, data = training_set_LR, family = "binomial")
summary(complex.fit)
##
## Call:
## glm(formula = model_formula, family = "binomial", data = training_set_LR)
##
## Coefficients:
## Estimate Std. Error z value
## (Intercept) 0.79702 0.18918 4.213
## poly(age, 2)1 36.17184 18.62002 1.943
## poly(age, 2)2 -123.78007 23.82016 -5.196
## gender_num -0.14252 0.07060 -2.019
## poly(years_education, 2)1 179.90712 16.60446 10.835
## poly(years_education, 2)2 -30.73809 16.91262 -1.817
## marital_status_num -0.01297 0.04410 -0.294
## poly(hours_per_week, 2)1 52.85092 16.18969 3.264
## poly(hours_per_week, 2)2 -3.28142 15.98982 -0.205
## poly(capital_gain_log, 2)1 165.13669 6.53199 25.281
## poly(capital_gain_log, 2)2 224.22126 11.03726 20.315
## poly(capital_loss_log, 2)1 35.49121 2.72563 13.021
## poly(capital_loss_log, 2)2 32.97319 3.79609 8.686
## household_role_num -0.88242 0.02458 -35.905
## occupation_num -0.07990 0.01745 -4.578
## poly(age, 2)1:gender_num 23.96808 10.16080 2.359
## poly(age, 2)2:gender_num 19.56867 12.69974 1.541
## poly(years_education, 2)1:marital_status_num -23.83973 7.71879 -3.089
## poly(years_education, 2)2:marital_status_num 17.85435 7.81782 2.284
## marital_status_num:poly(hours_per_week, 2)1 2.21349 7.73001 0.286
## marital_status_num:poly(hours_per_week, 2)2 -12.75057 7.71690 -1.652
## Pr(>|z|)
## (Intercept) 2.52e-05 ***
## poly(age, 2)1 0.05206 .
## poly(age, 2)2 2.03e-07 ***
## gender_num 0.04351 *
## poly(years_education, 2)1 < 2e-16 ***
## poly(years_education, 2)2 0.06915 .
## marital_status_num 0.76862
## poly(hours_per_week, 2)1 0.00110 **
## poly(hours_per_week, 2)2 0.83740
## poly(capital_gain_log, 2)1 < 2e-16 ***
## poly(capital_gain_log, 2)2 < 2e-16 ***
## poly(capital_loss_log, 2)1 < 2e-16 ***
## poly(capital_loss_log, 2)2 < 2e-16 ***
## household_role_num < 2e-16 ***
## occupation_num 4.70e-06 ***
## poly(age, 2)1:gender_num 0.01833 *
## poly(age, 2)2:gender_num 0.12335
## poly(years_education, 2)1:marital_status_num 0.00201 **
## poly(years_education, 2)2:marital_status_num 0.02238 *
## marital_status_num:poly(hours_per_week, 2)1 0.77461
## marital_status_num:poly(hours_per_week, 2)2 0.09848 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28723 on 26049 degrees of freedom
## Residual deviance: 17068 on 26029 degrees of freedom
## AIC: 17110
##
## Number of Fisher Scoring iterations: 7
par(mfrow=c(2,2))
plot(complex.fit)
par(mfrow=c(1,1))
plot_model_metrics_by_threshold(
model = complex.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
model_title = "Complex (Interactions with poly)"
)
poly.mixed <-
print_model_metrics(
model = complex.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
threshold = 0.267,
model_title = "Complex (poly w/interactions)"
)
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
print(poly.mixed)
##
##
## Table: Complex (poly w/interactions)
## Threshold: 0.267
## AIC: 17110.38
##
## | |Metric | Value|
## |:--------------|:-----------|---------:|
## |Accuracy |Accuracy | 0.8085074|
## |Sensitivity |Sensitivity | 0.8333333|
## |Specificity |Specificity | 0.8005276|
## |Prevalence |Prevalence | 0.2432432|
## |Pos Pred Value |PPV | 0.5731654|
## |Neg Pred Value |NPV | 0.9372773|
## | |AUROC | 0.9028149|
# Using Native Country as interaction except for capital_gain_log and capital_loss_log which is using invested
model_formula <- as.formula("income ~ age * native_region_num +
years_education * native_region_num +
hours_per_week * native_region_num +
capital_gain_log * native_region_num +
capital_loss_log * native_region_num +
marital_status_num +
household_role_num +
occupation_num")
complex.fit <- glm(model_formula, data = training_set_LR, family = "binomial")
summary(complex.fit)
##
## Call:
## glm(formula = model_formula, family = "binomial", data = training_set_LR)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -3.0813249 0.8060151 -3.823 0.000132 ***
## age 0.0216133 0.0100279 2.155 0.031138 *
## native_region_num -0.3522223 0.2034748 -1.731 0.083445 .
## years_education 0.2404679 0.0414374 5.803 6.51e-09 ***
## hours_per_week 0.0174820 0.0101493 1.722 0.084982 .
## capital_gain_log 0.1817072 0.0455101 3.993 6.53e-05 ***
## capital_loss_log 0.1237518 0.0618507 2.001 0.045412 *
## marital_status_num -0.2111590 0.0332197 -6.356 2.06e-10 ***
## household_role_num -0.8378151 0.0179476 -46.681 < 2e-16 ***
## occupation_num -0.0942614 0.0164810 -5.719 1.07e-08 ***
## age:native_region_num -0.0002785 0.0025458 -0.109 0.912896
## native_region_num:years_education 0.0250256 0.0106653 2.346 0.018953 *
## native_region_num:hours_per_week 0.0024466 0.0025856 0.946 0.344023
## native_region_num:capital_gain_log 0.0045493 0.0115818 0.393 0.694469
## native_region_num:capital_loss_log 0.0071856 0.0157401 0.457 0.648020
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28723 on 26049 degrees of freedom
## Residual deviance: 18587 on 26035 degrees of freedom
## AIC: 18617
##
## Number of Fisher Scoring iterations: 6
par(mfrow=c(2,2))
plot(complex.fit)
par(mfrow=c(1,1))
plot_model_metrics_by_threshold(
model = complex.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
model_title = "Complex (Interaction Native Region)"
)
complex <-
print_model_metrics(
model = complex.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
threshold = 0.267,
model_title = "Complex (Interaction Occupation)"
)
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
print(complex)
##
##
## Table: Complex (Interaction Occupation)
## Threshold: 0.267
## AIC: 18617.05
##
## | |Metric | Value|
## |:--------------|:-----------|---------:|
## |Accuracy |Accuracy | 0.7994472|
## |Sensitivity |Sensitivity | 0.8175505|
## |Specificity |Specificity | 0.7936282|
## |Prevalence |Prevalence | 0.2432432|
## |Pos Pred Value |PPV | 0.5601211|
## |Neg Pred Value |NPV | 0.9311905|
## | |AUROC | 0.8869810|
# Using Native Country as interaction except for capital_gain_log and capital_loss_log which is using invested
model_formula <- as.formula("income ~ age * native_region_num +
years_education * native_region_num +
marital_status_num +
household_role_num +
hours_per_week +
occupation_num +
poly(capital_gain_log,2) * native_region_num +
poly(capital_loss_log,2) * native_region_num")
complex.fit <- glm(model_formula, data = training_set_LR, family = "binomial")
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
summary(complex.fit)
##
## Call:
## glm(formula = model_formula, family = "binomial", data = training_set_LR)
##
## Coefficients:
## Estimate Std. Error z value
## (Intercept) -2.866e+00 7.022e-01 -4.082
## age 2.040e-02 1.048e-02 1.946
## native_region_num -2.714e-01 1.745e-01 -1.555
## years_education 2.431e-01 4.312e-02 5.639
## marital_status_num -2.257e-01 3.577e-02 -6.311
## household_role_num -8.742e-01 1.904e-02 -45.910
## hours_per_week 2.616e-02 1.662e-03 15.740
## occupation_num -8.900e-02 1.690e-02 -5.265
## poly(capital_gain_log, 2)1 2.861e+02 5.776e+01 4.953
## poly(capital_gain_log, 2)2 4.484e+02 9.475e+01 4.732
## poly(capital_loss_log, 2)1 2.687e+01 1.724e+01 1.559
## poly(capital_loss_log, 2)2 6.055e+01 1.983e+01 3.054
## age:native_region_num -5.952e-05 2.657e-03 -0.022
## native_region_num:years_education 2.229e-02 1.108e-02 2.012
## native_region_num:poly(capital_gain_log, 2)1 -3.125e+01 1.444e+01 -2.164
## native_region_num:poly(capital_gain_log, 2)2 -5.790e+01 2.374e+01 -2.439
## native_region_num:poly(capital_loss_log, 2)1 2.410e+00 4.371e+00 0.551
## native_region_num:poly(capital_loss_log, 2)2 -8.592e+00 4.969e+00 -1.729
## Pr(>|z|)
## (Intercept) 4.47e-05 ***
## age 0.05161 .
## native_region_num 0.11995
## years_education 1.71e-08 ***
## marital_status_num 2.78e-10 ***
## household_role_num < 2e-16 ***
## hours_per_week < 2e-16 ***
## occupation_num 1.40e-07 ***
## poly(capital_gain_log, 2)1 7.30e-07 ***
## poly(capital_gain_log, 2)2 2.22e-06 ***
## poly(capital_loss_log, 2)1 0.11906
## poly(capital_loss_log, 2)2 0.00226 **
## age:native_region_num 0.98213
## native_region_num:years_education 0.04420 *
## native_region_num:poly(capital_gain_log, 2)1 0.03044 *
## native_region_num:poly(capital_gain_log, 2)2 0.01471 *
## native_region_num:poly(capital_loss_log, 2)1 0.58140
## native_region_num:poly(capital_loss_log, 2)2 0.08382 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28723 on 26049 degrees of freedom
## Residual deviance: 17585 on 26032 degrees of freedom
## AIC: 17621
##
## Number of Fisher Scoring iterations: 7
par(mfrow=c(2,2))
plot(complex.fit)
par(mfrow=c(1,1))
plot_model_metrics_by_threshold(
model = complex.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
model_title = "Complex (Interaction Native Region with poly^2)"
)
complex <-
print_model_metrics(
model = complex.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
threshold = 0.267,
model_title = "Complex (Interaction Native Region with poly^2)"
)
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
print(complex)
##
##
## Table: Complex (Interaction Native Region with poly^2)
## Threshold: 0.267
## AIC: 17620.83
##
## | |Metric | Value|
## |:--------------|:-----------|---------:|
## |Accuracy |Accuracy | 0.8083538|
## |Sensitivity |Sensitivity | 0.8263889|
## |Specificity |Specificity | 0.8025568|
## |Prevalence |Prevalence | 0.2432432|
## |Pos Pred Value |PPV | 0.5736196|
## |Neg Pred Value |NPV | 0.9349882|
## | |AUROC | 0.8974720|
# Using Race as interaction except for capital_gain_log and capital_loss_log which is using invested
model_formula <- as.formula("income ~ age * race_num +
years_education * race_num +
marital_status_num * race_num +
household_role_num * race_num +
hours_per_week +
poly(capital_gain_log, 2)+
poly(capital_loss_log, 2)")
complex.fit <- glm(model_formula, data = training_set_LR, family = "binomial")
summary(complex.fit)
##
## Call:
## glm(formula = model_formula, family = "binomial", data = training_set_LR)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -4.952107 0.549741 -9.008 < 2e-16 ***
## age 0.025775 0.006274 4.108 3.98e-05 ***
## race_num 0.239759 0.241713 0.992 0.321
## years_education 0.379231 0.029223 12.977 < 2e-16 ***
## marital_status_num -0.157800 0.139700 -1.130 0.259
## household_role_num -0.949396 0.065195 -14.562 < 2e-16 ***
## hours_per_week 0.027063 0.001651 16.390 < 2e-16 ***
## poly(capital_gain_log, 2)1 163.411208 6.544402 24.970 < 2e-16 ***
## poly(capital_gain_log, 2)2 221.776699 10.975828 20.206 < 2e-16 ***
## poly(capital_loss_log, 2)1 36.189260 2.670990 13.549 < 2e-16 ***
## poly(capital_loss_log, 2)2 27.579139 3.742339 7.369 1.71e-13 ***
## age:race_num -0.002523 0.002816 -0.896 0.370
## race_num:years_education -0.017463 0.012716 -1.373 0.170
## race_num:marital_status_num -0.030278 0.061685 -0.491 0.624
## race_num:household_role_num 0.039380 0.027911 1.411 0.158
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28723 on 26049 degrees of freedom
## Residual deviance: 17620 on 26035 degrees of freedom
## AIC: 17650
##
## Number of Fisher Scoring iterations: 7
par(mfrow=c(2,2))
plot(complex.fit)
par(mfrow=c(1,1))
plot_model_metrics_by_threshold(
model = complex.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
model_title = "Complex (Interaction Race)"
)
complex <-
print_model_metrics(
model = complex.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
threshold = 0.267,
model_title = "Complex (Interaction Race)"
)
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
print(complex)
##
##
## Table: Complex (Interaction Race)
## Threshold: 0.267
## AIC: 17650.04
##
## | |Metric | Value|
## |:--------------|:-----------|---------:|
## |Accuracy |Accuracy | 0.8029791|
## |Sensitivity |Sensitivity | 0.8301768|
## |Specificity |Specificity | 0.7942370|
## |Prevalence |Prevalence | 0.2432432|
## |Pos Pred Value |PPV | 0.5646200|
## |Neg Pred Value |NPV | 0.9356921|
## | |AUROC | 0.8967578|
\[ \hat{Y}_{\text{income}} = \beta_0 + (\beta_1 \times \text{age} \times \text{occupation}) + (\beta_2 \times \text{years_education} \times \text{occupation}) + (\beta_3 \times \text{marital_status} \times \text{occupation}) + (\beta_4 \times \text{household_role} \times \text{occupation}) + (\beta_5 \times \text{hours_per_week} \times \text{occupation}) \\ + (\beta_6 \times \text{capital_gain_log} \times \text{occupation}) + (\beta_7 \times \text{capital_loss_log} \times \text{occupation}) \]
# Using Race as interaction except for capital_gain_log and capital_loss_log which is using invested
model_formula <- as.formula("income ~ (age * occupation_num +
years_education +
hours_per_week * occupation_num +
poly(capital_gain_log, 2)+
poly(capital_loss_log, 2))")
complex.fit <- glm(model_formula, data = training_set_LR, family = "binomial")
summary(complex.fit)
##
## Call:
## glm(formula = model_formula, family = "binomial", data = training_set_LR)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -7.107075 0.293800 -24.190 < 2e-16 ***
## age 0.036934 0.004083 9.046 < 2e-16 ***
## occupation_num -0.248103 0.074809 -3.316 0.000912 ***
## years_education 0.323437 0.007998 40.438 < 2e-16 ***
## hours_per_week 0.025987 0.004159 6.248 4.15e-10 ***
## poly(capital_gain_log, 2)1 167.420136 6.272924 26.689 < 2e-16 ***
## poly(capital_gain_log, 2)2 212.615269 10.497673 20.254 < 2e-16 ***
## poly(capital_loss_log, 2)1 41.450654 2.413631 17.174 < 2e-16 ***
## poly(capital_loss_log, 2)2 24.829645 3.419501 7.261 3.84e-13 ***
## age:occupation_num 0.001703 0.001081 1.575 0.115223
## occupation_num:hours_per_week 0.004363 0.001128 3.866 0.000111 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28723 on 26049 degrees of freedom
## Residual deviance: 20858 on 26039 degrees of freedom
## AIC: 20880
##
## Number of Fisher Scoring iterations: 7
par(mfrow=c(2,2))
plot(complex.fit)
par(mfrow=c(1,1))
plot_model_metrics_by_threshold(
model = complex.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
model_title = "Complex (Interaction Occupation)"
)
complex <-
print_model_metrics(
model = complex.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
threshold = 0.267,
model_title = "Complex (Interaction Occupation)"
)
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
print(complex)
##
##
## Table: Complex (Interaction Occupation)
## Threshold: 0.267
## AIC: 20879.64
##
## | |Metric | Value|
## |:--------------|:-----------|---------:|
## |Accuracy |Accuracy | 0.7820946|
## |Sensitivity |Sensitivity | 0.6862374|
## |Specificity |Specificity | 0.8129058|
## |Prevalence |Prevalence | 0.2432432|
## |Pos Pred Value |PPV | 0.5410652|
## |Neg Pred Value |NPV | 0.8896291|
## | |AUROC | 0.8431840|
model_formula <- as.formula("income ~ (age +
years_education +
marital_status_num +
hours_per_week +
capital_gain_log +
capital_loss_log) * household_role_num")
complex.fit <- glm(model_formula, data = training_set_LR, family = "binomial")
summary(complex.fit)
##
## Call:
## glm(formula = model_formula, family = "binomial", data = training_set_LR)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -3.390042 0.474232 -7.148 8.77e-13 ***
## age 0.013299 0.002884 4.611 4.00e-06 ***
## years_education 0.344671 0.015311 22.512 < 2e-16 ***
## marital_status_num -0.628840 0.183475 -3.427 0.000609 ***
## hours_per_week 0.020920 0.002982 7.015 2.30e-12 ***
## capital_gain_log 0.129349 0.012391 10.439 < 2e-16 ***
## capital_loss_log 0.133400 0.018989 7.025 2.14e-12 ***
## household_role_num -1.492908 0.181668 -8.218 < 2e-16 ***
## age:household_role_num 0.004082 0.001395 2.926 0.003432 **
## years_education:household_role_num 0.001374 0.007943 0.173 0.862707
## marital_status_num:household_role_num 0.131390 0.055086 2.385 0.017071 *
## hours_per_week:household_role_num 0.003892 0.001448 2.687 0.007207 **
## capital_gain_log:household_role_num 0.037282 0.005605 6.652 2.90e-11 ***
## capital_loss_log:household_role_num 0.010855 0.009361 1.160 0.246222
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28723 on 26049 degrees of freedom
## Residual deviance: 18567 on 26036 degrees of freedom
## AIC: 18595
##
## Number of Fisher Scoring iterations: 7
par(mfrow=c(2,2))
plot(complex.fit)
par(mfrow=c(1,1))
plot_model_metrics_by_threshold(
model = complex.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
model_title = "Complex (Interaction Household Role)"
)
complex <-
print_model_metrics(
model = complex.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
threshold = 0.267,
model_title = "Complex (Interaction Household Role)"
)
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
print(complex)
##
##
## Table: Complex (Interaction Household Role)
## Threshold: 0.267
## AIC: 18594.90
##
## | |Metric | Value|
## |:--------------|:-----------|---------:|
## |Accuracy |Accuracy | 0.7919226|
## |Sensitivity |Sensitivity | 0.8428030|
## |Specificity |Specificity | 0.7755682|
## |Prevalence |Prevalence | 0.2432432|
## |Pos Pred Value |PPV | 0.5469070|
## |Neg Pred Value |NPV | 0.9388357|
## | |AUROC | 0.8883234|
model_formula <- as.formula("income ~ (age +
years_education +
hours_per_week +
poly(capital_gain_log, 2)+
poly(capital_loss_log, 2)) * household_role_num")
complex.fit <- glm(model_formula, data = training_set_LR, family = "binomial")
summary(complex.fit)
##
## Call:
## glm(formula = model_formula, family = "binomial", data = training_set_LR)
##
## Coefficients:
## Estimate Std. Error z value
## (Intercept) -3.977761 0.267292 -14.882
## age 0.011150 0.003000 3.717
## years_education 0.328024 0.015813 20.744
## hours_per_week 0.018934 0.003084 6.140
## poly(capital_gain_log, 2)1 174.748578 12.266332 14.246
## poly(capital_gain_log, 2)2 247.691043 19.386861 12.776
## poly(capital_loss_log, 2)1 34.280589 5.164713 6.637
## poly(capital_loss_log, 2)2 26.633920 8.393745 3.173
## household_role_num -1.370562 0.131753 -10.403
## age:household_role_num 0.005790 0.001470 3.937
## years_education:household_role_num 0.004108 0.008338 0.493
## hours_per_week:household_role_num 0.004836 0.001527 3.168
## poly(capital_gain_log, 2)1:household_role_num -4.107000 4.283546 -0.959
## poly(capital_gain_log, 2)2:household_role_num -11.837259 7.302662 -1.621
## poly(capital_loss_log, 2)1:household_role_num 1.130830 2.680793 0.422
## poly(capital_loss_log, 2)2:household_role_num 0.027641 2.886015 0.010
## Pr(>|z|)
## (Intercept) < 2e-16 ***
## age 0.000202 ***
## years_education < 2e-16 ***
## hours_per_week 8.24e-10 ***
## poly(capital_gain_log, 2)1 < 2e-16 ***
## poly(capital_gain_log, 2)2 < 2e-16 ***
## poly(capital_loss_log, 2)1 3.19e-11 ***
## poly(capital_loss_log, 2)2 0.001508 **
## household_role_num < 2e-16 ***
## age:household_role_num 8.24e-05 ***
## years_education:household_role_num 0.622245
## hours_per_week:household_role_num 0.001537 **
## poly(capital_gain_log, 2)1:household_role_num 0.337667
## poly(capital_gain_log, 2)2:household_role_num 0.105028
## poly(capital_loss_log, 2)1:household_role_num 0.673152
## poly(capital_loss_log, 2)2:household_role_num 0.992358
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28723 on 26049 degrees of freedom
## Residual deviance: 17640 on 26034 degrees of freedom
## AIC: 17672
##
## Number of Fisher Scoring iterations: 7
par(mfrow=c(2,2))
plot(complex.fit)
par(mfrow=c(1,1))
plot_model_metrics_by_threshold(
model = complex.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
model_title = "Complex (Interaction Household Role and polynomial)"
)
complex6 <-
print_model_metrics(
model = complex.fit,
test_data = testing_set_LR,
response_var = "income",
pos_value = "1",
threshold = 0.267,
model_title = "Complex (Interaction Household Role and polynomial)"
)
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
print(complex6)
##
##
## Table: Complex (Interaction Household Role and polynomial)
## Threshold: 0.267
## AIC: 17671.66
##
## | |Metric | Value|
## |:--------------|:-----------|---------:|
## |Accuracy |Accuracy | 0.7994472|
## |Sensitivity |Sensitivity | 0.8383838|
## |Specificity |Specificity | 0.7869318|
## |Prevalence |Prevalence | 0.2432432|
## |Pos Pred Value |PPV | 0.5584525|
## |Neg Pred Value |NPV | 0.9380745|
## | |AUROC | 0.8960806|
################## glm test with influential outliers removed ##############################
cat("\n\n----------------interactions--------------\n\n")
##
##
## ----------------interactions--------------
interactions_formula <- as.formula(income ~ +age + workclass_num + education_level_num + years_education + marital_status_num+
occupation_num + household_role_num + race_num + gender_num + capital_gain_log + capital_loss_log + hours_per_week +
native_region_num + capital_gain_log:capital_loss_log +
education_level_num:years_education +workclass_num:occupation_num)
interactions_formula
## income ~ +age + workclass_num + education_level_num + years_education +
## marital_status_num + occupation_num + household_role_num +
## race_num + gender_num + capital_gain_log + capital_loss_log +
## hours_per_week + native_region_num + capital_gain_log:capital_loss_log +
## education_level_num:years_education + workclass_num:occupation_num
interactions_formula2 <- as.formula(income ~ +age + workclass_num + similar_pop_count + education_level_num + years_education + marital_status_num+
occupation_num + household_role_num + race_num + gender_num + capital_gain + capital_loss + hours_per_week +
native_region_num + invested_num + capital_gain:capital_loss +
education_level_num:years_education +workclass_num:occupation_num)
# Fit a logistic regression model
model6 <- glm(interactions_formula, data = training_set_LR, family = binomial)
# Confidence interval
# confint(model3)
# Summarize the final selected model
summary(model6)
##
## Call:
## glm(formula = interactions_formula, family = binomial, data = training_set_LR)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -2.6414134 0.3660397 -7.216 5.35e-13 ***
## age 0.0224867 0.0015816 14.218 < 2e-16 ***
## workclass_num -0.3376674 0.0358582 -9.417 < 2e-16 ***
## education_level_num 0.0227006 0.0527910 0.430 0.6672
## years_education 0.3333134 0.0200845 16.596 < 2e-16 ***
## marital_status_num -0.2040444 0.0333119 -6.125 9.05e-10 ***
## occupation_num -0.4746475 0.0450867 -10.527 < 2e-16 ***
## household_role_num -0.8647059 0.0223604 -38.671 < 2e-16 ***
## race_num -0.0518539 0.0320103 -1.620 0.1053
## gender_num -0.1036843 0.0579356 -1.790 0.0735 .
## capital_gain_log 0.2005975 0.0069272 28.958 < 2e-16 ***
## capital_loss_log 0.1516110 0.0099767 15.197 < 2e-16 ***
## hours_per_week 0.0273096 0.0016530 16.521 < 2e-16 ***
## native_region_num 0.0180578 0.0311560 0.580 0.5622
## capital_gain_log:capital_loss_log -0.2709513 3.8179239 -0.071 0.9434
## education_level_num:years_education -0.0009126 0.0044164 -0.207 0.8363
## workclass_num:occupation_num 0.0802809 0.0089069 9.013 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 28723 on 26049 degrees of freedom
## Residual deviance: 18495 on 26033 degrees of freedom
## AIC: 18529
##
## Number of Fisher Scoring iterations: 9
# Check for multicollinearity
# vif(model6)
# Perform Hosmer-Lemeshow goodness of fit test
# Note: A p-value less than 0.05 typically suggests that the model does not fit the data well.
hoslem.test(training_set_LR$income, fitted(model6))
##
## Hosmer and Lemeshow goodness of fit (GOF) test
##
## data: training_set_LR$income, fitted(model6)
## X-squared = 50.812, df = 8, p-value = 2.852e-08
# Make predictions
probabilities <- model6 %>% predict(testing_set_LR, type = "response")
predicted.classes <- ifelse(probabilities > 0.28, "1", "0")
# Model accuracy
accuracy <- mean(predicted.classes==testing_set_LR$income)
# confusion matrix
tb <- table(predicted.classes, testing_set_LR$income)
tb
##
## predicted.classes 0 1
## 0 3971 316
## 1 957 1268
# Calculate Sensitivity (True Positive Rate)
sensitivity <- tb[2, 2] / (tb[2, 2] + tb[1, 2])
# Calculate Specificity (True Negative Rate)
specificity <- tb[1, 1] / (tb[1, 1] + tb[2, 1])
# Calculate Prevalence
prevalence <- (tb[1, 2] + tb[2, 2]) / sum(tb)
# Calculate PPV (Positive Predictive Value)
ppv <- tb[2, 2] / (tb[2, 2] + tb[2, 1])
# Calculate NPV (Negative Predictive Value)
npv <- tb[1, 1] / (tb[1, 1] + tb[1, 2])
# Calculate AUROC
roc_obj <- roc(testing_set_LR$income, probabilities)
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
auroc <- auc(roc_obj)
# Print the metrics
cat("accuracy:", accuracy, "\n")
## accuracy: 0.8045147
cat("Sensitivity:", sensitivity, "\n")
## Sensitivity: 0.8005051
cat("Specificity:", specificity, "\n")
## Specificity: 0.8058036
cat("Prevalence:", prevalence, "\n")
## Prevalence: 0.2432432
cat("PPV:", ppv, "\n")
## PPV: 0.5698876
cat("NPV:", npv, "\n")
## NPV: 0.9262888
cat("AUROC:", auroc, "\n")
## AUROC: 0.8880226
library(caret)
# change the income value names to work with glmnet (greater than sign will not run)
training_set2 <- training_set
training_set2$income <- gsub('<=50K', 'less_than_50K', training_set2$income)
training_set2$income <- gsub('>50K', 'greater_than_50K', training_set2$income)
testing_set2 <- testing_set
testing_set2$income <- gsub('<=50K', 'less_than_50K', testing_set2$income)
testing_set2$income <- gsub('>50K', 'greater_than_50K', testing_set2$income)
levels(training_set2$income)
## NULL
fitControl<-trainControl(method="repeatedcv",number=2,repeats=1,classProbs=TRUE, summaryFunction=mnLogLoss)
set.seed(1234)
# Convert 'income' to a factor
training_set2$income <- factor(training_set2$income, levels = c('greater_than_50K', 'less_than_50K'))
testing_set2$income <- factor(testing_set2$income, levels = c('greater_than_50K', 'less_than_50K'))
# Fit a logistic regression model
logreg_model <- train(income ~ ., data = training_set2,
method = "lda",
trControl = fitControl,
metric = "logLoss")
# Compute predicted probabilities on the training data
logreg_predictions <- predict(logreg_model, testing_set2, type = "prob")[, 'less_than_50K']
threshold <- 0.78
# Create factor predictions based on a threshold
logreg_preds <- factor(ifelse(logreg_predictions > threshold, 'less_than_50K', 'greater_than_50K' ),
levels = c( 'less_than_50K', 'greater_than_50K' ))
# Get the confusion matrix
confusionMatrix(data = logreg_preds, reference = testing_set2$income)
## Warning in confusionMatrix.default(data = logreg_preds, reference =
## testing_set2$income): Levels are not in the same order for reference and data.
## Refactoring data to match.
## Confusion Matrix and Statistics
##
## Reference
## Prediction greater_than_50K less_than_50K
## greater_than_50K 1285 967
## less_than_50K 318 3942
##
## Accuracy : 0.8027
## 95% CI : (0.7928, 0.8123)
## No Information Rate : 0.7538
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.5321
##
## Mcnemar's Test P-Value : < 2.2e-16
##
## Sensitivity : 0.8016
## Specificity : 0.8030
## Pos Pred Value : 0.5706
## Neg Pred Value : 0.9254
## Prevalence : 0.2462
## Detection Rate : 0.1973
## Detection Prevalence : 0.3458
## Balanced Accuracy : 0.8023
##
## 'Positive' Class : greater_than_50K
##
library(ROCR)
roc_obj <- roc(testing_set2$income, logreg_predictions)
## Setting levels: control = greater_than_50K, case = less_than_50K
## Setting direction: controls < cases
auroc <- auc(roc_obj)
cat("AUROC:", auroc, "\n")
## AUROC: 0.8892327
set.seed(1234)
library(rpart)
# install.packages("rpart.plot")
library(rpart.plot)
# create a decision tree model
rwtree <- rpart(new_formula2, data = training_set_out, method = "class", cp = 1e-10) # CP Complexity- lower is more complex
rpart.plot(rwtree)
## Warning: labs do not fit even at cex 0.15, there may be some overplotting
# summary(rwtree)
# Predict class probabilities
rwtree.pred.prob <- predict(rwtree, newdata = testing_set_out, type = 'prob')
# Apply threshold to get predicted classes
threshold <- 0.22
rwtree.pred <- ifelse(rwtree.pred.prob[, ">50K"] > threshold, ">50K", "<=50K")
# Confusion matrix
tb5 <- table(rwtree.pred, testing_set_out$income)
tb5
##
## rwtree.pred <=50K >50K
## <=50K 3991 252
## >50K 896 1370
rwtreeErrors <- rwtree.pred.prob - ifelse(testing_set_out$income == ">50K", 1, 0)
rwtreeRMSE <- sqrt(mean(rwtreeErrors^2))
# Model accuracy
accuracy <- mean(rwtree.pred == testing_set_out$income)
# Calculate Sensitivity (True Positive Rate)
sensitivity <- tb5[2, 2] / (tb5[2, 2] + tb5[1, 2])
# Calculate Specificity (True Negative Rate)
specificity <- tb5[1, 1] / (tb5[1, 1] + tb5[2, 1])
# Calculate Prevalence
prevalence <- (tb5[1, 2] + tb5[2, 2]) / sum(tb5)
# Calculate PPV (Positive Predictive Value)
ppv <- tb5[2, 2] / (tb5[2, 2] + tb5[2, 1])
# Calculate NPV (Negative Predictive Value)
npv <- tb5[1, 1] / (tb5[1, 1] + tb5[1, 2])
# Assuming the positive class is '>50K'
positive_class_probs <- rwtree.pred.prob[, ">50K"]
# Calculate AUROC using the vector of probabilities for the positive class
roc_obj <- roc(testing_set_out$income, positive_class_probs)
## Setting levels: control = <=50K, case = >50K
## Setting direction: controls < cases
auroc <- auc(roc_obj)
# Print the metrics
cat("Accuracy:", accuracy, "\n")
## Accuracy: 0.8236288
cat("Sensitivity:", sensitivity, "\n")
## Sensitivity: 0.8446363
cat("Specificity:", specificity, "\n")
## Specificity: 0.8166564
cat("Prevalence:", prevalence, "\n")
## Prevalence: 0.2491934
cat("PPV:", ppv, "\n")
## PPV: 0.6045896
cat("NPV:", npv, "\n")
## NPV: 0.9406081
cat("AUROC:", auroc, "\n")
## AUROC: 0.9040478
cat("RMSE:", rwtreeRMSE, "\n")
## RMSE: 0.6436333
set.seed(1234)
library(randomForest)
## randomForest 4.7-1.1
## Type rfNews() to see new features/changes/bug fixes.
##
## Attaching package: 'randomForest'
## The following object is masked from 'package:dplyr':
##
## combine
## The following object is masked from 'package:ggplot2':
##
## margin
# Train the random forest model
rf3t <- randomForest(income ~ ., data = training_set_out, ntree = 300, keep.forest=TRUE, importance=TRUE,test=testing_set_out$income)
rf3t
##
## Call:
## randomForest(formula = income ~ ., data = training_set_out, ntree = 300, keep.forest = TRUE, importance = TRUE, test = testing_set_out$income)
## Type of random forest: classification
## Number of trees: 300
## No. of variables tried at each split: 3
##
## OOB estimate of error rate: 13.29%
## Confusion matrix:
## <=50K >50K class.error
## <=50K 18670 1164 0.0586871
## >50K 2296 3908 0.3700838
plot(rf3t)
# Visually check variable importance.
importance(rf3t)
## <=50K >50K MeanDecreaseAccuracy MeanDecreaseGini
## age 3.210170 75.223704 64.794813 887.91532
## workclass 30.129097 14.777020 36.316584 302.91282
## education_level 13.311274 23.637330 23.757605 481.80628
## years_education 16.841759 19.349687 28.842830 592.88945
## marital_status 7.122960 19.405890 31.343596 789.41471
## occupation 8.156144 79.763747 70.268402 489.54197
## household_role 7.199914 82.646946 36.246245 947.50828
## race 8.255063 9.383508 13.393072 119.72564
## gender 14.023378 7.979982 23.217124 99.88164
## hours_per_week 4.372741 44.535055 41.596057 530.63468
## native_region 9.775015 -2.721376 6.264715 116.34315
## capital_gain_log 120.685600 164.993010 162.828528 993.68817
## capital_loss_log 49.129691 74.100736 75.119828 293.56159
varImpPlot(rf3t)
# Predict class probabilities
rf3t.pred.prob <- predict(rf3t, newdata = testing_set_out, type = 'prob')
# Apply threshold to get predicted classes
threshold <- 0.2
rf3t.pred <- ifelse(rf3t.pred.prob[, ">50K"] > threshold, ">50K", "<=50K")
# Confusion matrix
tb3t <- table(rf3t.pred, testing_set_out$income)
tb3t
##
## rf3t.pred <=50K >50K
## <=50K 4128 323
## >50K 759 1299
# Get the RMSE -not sure how useful this is because it is categorical
rfErrors <- rf3t.pred.prob - ifelse(testing_set_out$income == ">50K", 1, 0)
rfRMSE <- sqrt(mean(rfErrors^2))
rfRMSE
## [1] 0.6598331
# Model accuracy
accuracy <- mean(rf3t.pred == testing_set_out$income)
# Calculate Sensitivity (True Positive Rate)
sensitivity <- tb3t[2, 2] / (tb3t[2, 2] + tb3t[1, 2])
# Calculate Specificity (True Negative Rate)
specificity <- tb3t[1, 1] / (tb3t[1, 1] + tb3t[2, 1])
# Calculate Prevalence
prevalence <- (tb3t[1, 2] + tb3t[2, 2]) / sum(tb3t)
# Calculate PPV (Positive Predictive Value)
ppv <- tb3t[2, 2] / (tb3t[2, 2] + tb3t[2, 1])
# Calculate NPV (Negative Predictive Value)
npv <- tb3t[1, 1] / (tb3t[1, 1] + tb3t[1, 2])
# Assuming the positive class is '>50K'
positive_class_probs <- rf3t.pred.prob[, ">50K"]
# Calculate AUROC using the vector of probabilities for the positive class
roc_obj <- roc(testing_set_out$income, positive_class_probs)
## Setting levels: control = <=50K, case = >50K
## Setting direction: controls < cases
auroc <- auc(roc_obj)
# Print the metrics
cat("Accuracy:", accuracy, "\n")
## Accuracy: 0.8337686
cat("Sensitivity:", sensitivity, "\n")
## Sensitivity: 0.8008631
cat("Specificity:", specificity, "\n")
## Specificity: 0.84469
cat("Prevalence:", prevalence, "\n")
## Prevalence: 0.2491934
cat("PPV:", ppv, "\n")
## PPV: 0.6311953
cat("NPV:", npv, "\n")
## NPV: 0.927432
cat("AUROC:", auroc, "\n")
## AUROC: 0.9016705
cat("RMSE:", rfRMSE, "\n")
## RMSE: 0.6598331
set.seed(1234)
cat("\n---------------reduced model-------------\n")
##
## ---------------reduced model-------------
new_formula2 <- as.formula(income ~ +age + years_education + capital_gain_log + capital_loss_log +
marital_status+ occupation + household_role + hours_per_week)
# Train the reduced random forest model
rf3 <- randomForest(new_formula2, data = training_set_out, ntree = 300)
rf3
##
## Call:
## randomForest(formula = new_formula2, data = training_set_out, ntree = 300)
## Type of random forest: classification
## Number of trees: 300
## No. of variables tried at each split: 2
##
## OOB estimate of error rate: 13.3%
## Confusion matrix:
## <=50K >50K class.error
## <=50K 18777 1057 0.05329233
## >50K 2407 3797 0.38797550
plot(rf3)
# Visually check variable importance.
importance(rf3)
## MeanDecreaseGini
## age 664.5262
## years_education 822.9584
## capital_gain_log 1041.3301
## capital_loss_log 300.5223
## marital_status 665.2560
## occupation 567.3563
## household_role 1082.5898
## hours_per_week 425.7741
varImpPlot(rf3)
# Predict class probabilities
rf3.pred.prob <- predict(rf3, newdata = testing_set_out, type = 'prob')
# Apply threshold to get predicted classes
threshold <- 0.13
rf3.pred <- ifelse(rf3.pred.prob[, ">50K"] > threshold, ">50K", "<=50K")
# Confusion matrix
tb3 <- table(rf3.pred, testing_set_out$income)
tb3
##
## rf3.pred <=50K >50K
## <=50K 4057 302
## >50K 830 1320
# Get the RMSE -not sure how useful this is because it is categorical
rfErrors <- rf3.pred.prob - ifelse(testing_set_out$income == ">50K", 1, 0)
rfRMSE <- sqrt(mean(rfErrors^2))
# Model accuracy
accuracy <- mean(rf3.pred == testing_set_out$income)
# Calculate Sensitivity (True Positive Rate)
sensitivity <- tb3[2, 2] / (tb3[2, 2] + tb3[1, 2])
# Calculate Specificity (True Negative Rate)
specificity <- tb3[1, 1] / (tb3[1, 1] + tb3[2, 1])
# Calculate Prevalence
prevalence <- (tb3[1, 2] + tb3[2, 2]) / sum(tb3)
# Calculate PPV (Positive Predictive Value)
ppv <- tb3[2, 2] / (tb3[2, 2] + tb3[2, 1])
# Calculate NPV (Negative Predictive Value)
npv <- tb3[1, 1] / (tb3[1, 1] + tb3[1, 2])
# Assuming the positive class is '>50K'
positive_class_probs <- rf3.pred.prob[, ">50K"]
# Calculate AUROC using the vector of probabilities for the positive class
roc_obj <- roc(testing_set_out$income, positive_class_probs)
## Setting levels: control = <=50K, case = >50K
## Setting direction: controls < cases
auroc <- auc(roc_obj)
# Print the metrics
cat("Accuracy:", accuracy, "\n")
## Accuracy: 0.826087
cat("Sensitivity:", sensitivity, "\n")
## Sensitivity: 0.8138101
cat("Specificity:", specificity, "\n")
## Specificity: 0.8301617
cat("Prevalence:", prevalence, "\n")
## Prevalence: 0.2491934
cat("PPV:", ppv, "\n")
## PPV: 0.6139535
cat("NPV:", npv, "\n")
## NPV: 0.9307181
cat("AUROC:", auroc, "\n")
## AUROC: 0.8953958
cat("RMSE:", rfRMSE, "\n")
## RMSE: 0.6701497
library(kernlab)
##
## Attaching package: 'kernlab'
## The following object is masked from 'package:purrr':
##
## cross
## The following object is masked from 'package:ggplot2':
##
## alpha
library(caret)
set.seed(1234)
# Train the SVM model
svm4 <- ksvm(income ~ ., data = training_set_out, )
# Get decision values
svm4.pred.prob <- predict(svm4, newdata = testing_set_out, type = 'decision')
# Apply threshold to decision values to get predicted classes
threshold <- -.9 # Adjust this threshold (not normal for SVM)
svm4.pred <- ifelse(svm4.pred.prob > threshold, ">50K", "<=50K")
# Confusion matrix
tb4 <- table(svm4.pred, testing_set_out$income)
tb4
##
## svm4.pred <=50K >50K
## <=50K 4144 351
## >50K 743 1271
# Calculate accuracy and other metrics
accuracy <- mean(svm4.pred == testing_set_out$income)
sensitivity <- tb4[2, 2] / (tb4[2, 2] + tb4[1, 2])
specificity <- tb4[1, 1] / (tb4[1, 1] + tb4[2, 1])
prevalence <- (tb4[1, 2] + tb4[2, 2]) / sum(tb4)
ppv <- tb4[2, 2] / (tb4[2, 2] + tb4[2, 1])
npv <- tb4[1, 1] / (tb4[1, 1] + tb4[1, 2])
# Calculate AUROC using the decision values
roc_obj <- roc(testing_set_out$income, svm4.pred.prob)
## Setting levels: control = <=50K, case = >50K
## Warning in roc.default(testing_set_out$income, svm4.pred.prob): Deprecated use
## a matrix as predictor. Unexpected results may be produced, please pass a
## numeric vector.
## Setting direction: controls < cases
auroc <- auc(roc_obj)
# Print the metrics
cat("Accuracy:", accuracy, "\n")
## Accuracy: 0.831925
cat("Sensitivity:", sensitivity, "\n")
## Sensitivity: 0.7836005
cat("Specificity:", specificity, "\n")
## Specificity: 0.847964
cat("Prevalence:", prevalence, "\n")
## Prevalence: 0.2491934
cat("PPV:", ppv, "\n")
## PPV: 0.6310824
cat("NPV:", npv, "\n")
## NPV: 0.9219132
cat("AUROC:", auroc, "\n")
## AUROC: 0.8920914
Sources: https://www.statology.org/interpret-roc-curve/
prob <- predict(model4, testing_set, type = 'response') # reduced
# create a prediction object
pr <- prediction(prob, testing_set$income)
prf <- performance(pr, measure = "tpr", x.measure = "fpr")
# create a data frame for TP and FP rates
dd <- data.frame(FP = prf@x.values[[1]], TP = prf@y.values[[1]])
# complex LR
prob5 <- predict(model6, testing_set_LR, type = 'response') #interactions
# create a prediction object
pr5 <- prediction(prob5, testing_set_LR$income)
prf5 <- performance(pr5, measure = "tpr", x.measure = "fpr")
# create a data frame for TP and FP rates
dd5 <- data.frame(FP = prf5@x.values[[1]], TP = prf5@y.values[[1]])
# NN
pr1 <- prediction(nn1.pred, testing_set_out$income)
prf1 <- performance(pr1, measure = "tpr", x.measure = "fpr")
dd1 <- data.frame(FP = prf1@x.values[[1]], TP = prf1@y.values[[1]])
# CART
pr2 <- prediction(tree2.pred.prob[,2], testing_set_out$income)
prf2 <- performance(pr2, measure = "tpr", x.measure = "fpr")
dd2 <- data.frame(FP = prf2@x.values[[1]], TP = prf2@y.values[[1]])
# RF
pr3 <- prediction(rf3.pred.prob[,2], testing_set_out$income)
prf3 <- performance(pr3, measure = "tpr", x.measure = "fpr")
dd3 <- data.frame(FP = prf3@x.values[[1]], TP = prf3@y.values[[1]])
# SVM
pr4 <- prediction(svm4.pred.prob, testing_set_out$income)
prf4 <- performance(pr4, measure = "tpr", x.measure = "fpr")
dd4 <- data.frame(FP = prf4@x.values[[1]], TP = prf4@y.values[[1]])
# Create a prediction object for the lda model (logreg_predictions)
pr6 <- prediction(logreg_predictions, testing_set2$income)
# Calculate the True Positive Rate (TPR) and False Positive Rate (FPR)
prf6 <- performance(pr6, measure = "tpr", x.measure = "fpr")
dd6 <- data.frame(FP = prf6@x.values[[1]], TP = prf6@y.values[[1]])
# plot ROC curve for logistic regression
g <- ggplot() +
geom_line(data = dd, aes(x = FP, y = TP, color = 'Logistic Regression')) +
geom_line(data = dd5, aes(x = FP, y = TP, color = 'Complex Logistic Regression')) +
geom_line(data = dd1, aes(x = FP, y = TP, color = 'Neural Networks')) +
geom_line(data = dd2, aes(x = FP, y = TP, color = 'CART')) +
geom_line(data = dd3, aes(x = FP, y = TP, color = 'Random Forest')) +
geom_line(data = dd4, aes(x = FP, y = TP, color = 'Support Vector Machine')) +
geom_line(data = dd6, aes(x = FP, y = TP, color = 'Linear Discriminant Analysis')) +
geom_segment(aes(x = 0, xend = 1, y = 0, yend = 1)) +
ggtitle('ROC Curve') +
labs(x = 'False Positive Rate', y = 'True Positive Rate')
g + scale_colour_manual(name = 'Classifier', values = c('Logistic Regression'='#E69F00',
'Complex Logistic Regression'='red',
'Neural Networks'='blue', 'CART'='#009E73',
'Random Forest'='#D55E00', 'Support Vector Machine'='#0072B2',
'Linear Discriminant Analysis' = 'green'))
# AUC
auc <- rbind(performance(pr, measure = 'auc')@y.values[[1]],
performance(pr1, measure = 'auc')@y.values[[1]],
performance(pr2, measure = 'auc')@y.values[[1]],
performance(pr3, measure = 'auc')@y.values[[1]],
performance(pr4, measure = 'auc')@y.values[[1]],
performance(pr5, measure = 'auc')@y.values[[1]],
performance(pr6, measure = 'auc')@y.values[[1]])
rownames(auc) <- (c('Logistic Regression', 'Neural Networks', 'CART',
'Random Forest', 'Support Vector Machine',
'Complex Logistic Regression', 'Linear Discriminant Analysis'))
colnames(auc) <- 'Area Under ROC Curve'
round(auc, 4)
## Area Under ROC Curve
## Logistic Regression 0.8955
## Neural Networks 0.9010
## CART 0.9040
## Random Forest 0.8954
## Support Vector Machine 0.8921
## Complex Logistic Regression 0.8880
## Linear Discriminant Analysis 0.8892